{
 "cells": [
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": [
    "# 1.分析远程图像"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 9,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "{\"categories\": [{\"name\": \"people_group\", \"score\": 0.80859375, \"detail\": {\"celebrities\": []}}], \"color\": {\"dominantColorForeground\": \"White\", \"dominantColorBackground\": \"White\", \"dominantColors\": [\"White\", \"Grey\"], \"accentColor\": \"3A4467\", \"isBwImg\": false, \"isBWImg\": false}, \"description\": {\"tags\": [\"person\", \"outdoor\", \"holding\", \"woman\", \"man\", \"standing\", \"water\", \"food\", \"posing\", \"smiling\", \"people\", \"wearing\", \"young\", \"street\", \"city\", \"boat\"], \"captions\": [{\"text\": \"a man and a woman posing for a picture\", \"confidence\": 0.8137918985774577}]}, \"requestId\": \"8cfaeb05-edb1-423e-a606-f7d312d43654\", \"metadata\": {\"height\": 514, \"width\": 750, \"format\": \"Jpeg\"}}\n"
     ]
    },
    {
     "data": {
      "image/png": "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\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "import requests\n",
    "# If you are using a Jupyter notebook, uncomment the following line.\n",
    "# %matplotlib inline\n",
    "import matplotlib.pyplot as plt\n",
    "import json\n",
    "from PIL import Image\n",
    "from io import BytesIO\n",
    "\n",
    "endpoint = \"https://jisuanjiapi.cognitiveservices.azure.com/\"\n",
    "# if 'COMPUTER_VISION_ENDPOINT' in os.environ:\n",
    "#     endpoint = os.environ['COMPUTER_VISION_ENDPOINT']\n",
    "subscription_key = \"14811b93a7c1482c9ec4d5eabf7241b7\"\n",
    "\n",
    "# base url\n",
    "analyze_url = endpoint + \"vision/v2.1/analyze\"\n",
    "\n",
    "# Set image_url to the URL of an image that you want to analyze.\n",
    "image_url = \"http://5b0988e595225.cdn.sohucs.com/images/20191207/8d6ed22de01b410383e3b607622c744c.jpeg\"\n",
    "\n",
    "headers = {'Ocp-Apim-Subscription-Key': subscription_key}\n",
    "# 参数\n",
    "params = {'visualFeatures': 'Categories,Description,Color'}\n",
    "# 请求主体body\n",
    "data = {'url': image_url}\n",
    "response = requests.post(analyze_url, headers=headers,\n",
    "                         params=params, json=data)\n",
    "response.raise_for_status()\n",
    "analysis = response.json()\n",
    "print(json.dumps(response.json()))\n",
    "image_caption = analysis[\"description\"][\"captions\"][0][\"text\"].capitalize()\n",
    "\n",
    "# Display the image and overlay it with the caption.\n",
    "image = Image.open(BytesIO(requests.get(image_url).content))\n",
    "plt.imshow(image)\n",
    "plt.axis(\"off\")\n",
    "_ = plt.title(image_caption, size=\"x-large\", y=-0.1)\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": []
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": []
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": [
    "# 2.缩略图"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 14,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Thumbnail is 100-by-100\n"
     ]
    },
    {
     "data": {
      "image/png": "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\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "import os\n",
    "import sys\n",
    "import requests\n",
    "# If you are using a Jupyter notebook, uncomment the following line.\n",
    "# %matplotlib inline\n",
    "import matplotlib.pyplot as plt\n",
    "from PIL import Image\n",
    "from io import BytesIO\n",
    "\n",
    "# Add your Computer Vision subscription key and endpoint to your environment variables.\n",
    "# if 'COMPUTER_VISION_SUBSCRIPTION_KEY' in os.environ:\n",
    "#     subscription_key = os.environ['COMPUTER_VISION_SUBSCRIPTION_KEY']\n",
    "# else:\n",
    "#     print(\"\\nSet the COMPUTER_VISION_SUBSCRIPTION_KEY environment variable.\\n**Restart your shell or IDE for changes to take effect.**\")\n",
    "#     sys.exit()\n",
    "\n",
    "# if 'COMPUTER_VISION_ENDPOINT' in os.environ:\n",
    "#     endpoint = os.environ['COMPUTER_VISION_ENDPOINT']\n",
    "\n",
    "thumbnail_url = \"https://jisuanjiapi.cognitiveservices.azure.com/\" + \"vision/v2.1/generateThumbnail\"\n",
    "\n",
    "# Set image_url to the URL of an image that you want to analyze.\n",
    "image_url = \"http://5b0988e595225.cdn.sohucs.com/images/20190710/8f77991192a14deb80084353aacf0e70.jpeg\"\n",
    "\n",
    "headers = {'Ocp-Apim-Subscription-Key': \"14811b93a7c1482c9ec4d5eabf7241b7\"}\n",
    "params = {'width': '100', 'height': '100', 'smartCropping': 'true'}\n",
    "data = {'url': image_url}\n",
    "response = requests.post(thumbnail_url, headers=headers,\n",
    "                         params=params, json=data)\n",
    "response.raise_for_status()\n",
    "\n",
    "thumbnail = Image.open(BytesIO(response.content))\n",
    "\n",
    "# Display the thumbnail.\n",
    "plt.imshow(thumbnail)\n",
    "plt.axis(\"off\")\n",
    "\n",
    "# Verify the thumbnail size.\n",
    "print(\"Thumbnail is {0}-by-{1}\".format(*thumbnail.size))"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": [
    "# 3.分析本地图像"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 20,
   "metadata": {},
   "outputs": [
    {
     "ename": "SyntaxError",
     "evalue": "(unicode error) 'unicodeescape' codec can't decode bytes in position 2-3: truncated \\UXXXXXXXX escape (<ipython-input-20-be4f2f4e3825>, line 25)",
     "output_type": "error",
     "traceback": [
      "\u001b[1;36m  File \u001b[1;32m\"<ipython-input-20-be4f2f4e3825>\"\u001b[1;36m, line \u001b[1;32m25\u001b[0m\n\u001b[1;33m    image_path = \"C:\\Users\\HP\\Desktop\\远程分析图片.jpeg\"\u001b[0m\n\u001b[1;37m                 ^\u001b[0m\n\u001b[1;31mSyntaxError\u001b[0m\u001b[1;31m:\u001b[0m (unicode error) 'unicodeescape' codec can't decode bytes in position 2-3: truncated \\UXXXXXXXX escape\n"
     ]
    }
   ],
   "source": [
    "import os\n",
    "import sys\n",
    "import requests\n",
    "# If you are using a Jupyter notebook, uncomment the following line.\n",
    "# %matplotlib inline\n",
    "import matplotlib.pyplot as plt\n",
    "from PIL import Image\n",
    "from io import BytesIO\n",
    "\n",
    "# Add your Computer Vision subscription key and endpoint to your environment variables.\n",
    "if 'COMPUTER_VISION_SUBSCRIPTION_KEY' in os.environ:\n",
    "    subscription_key = os.environ['COMPUTER_VISION_SUBSCRIPTION_KEY']\n",
    "else:\n",
    "    print(\"\\nSet the COMPUTER_VISION_SUBSCRIPTION_KEY environment variable.\\n**Restart your shell or IDE for changes to take effect.**\")\n",
    "    sys.exit()\n",
    "\n",
    "if 'COMPUTER_VISION_ENDPOINT' in os.environ:\n",
    "    endpoint = os.environ['COMPUTER_VISION_ENDPOINT']\n",
    "\n",
    "analyze_url = \"https://jisuanjiapi.cognitiveservices.azure.com/\"+ \"vision/v3.1/analyze\"\n",
    "\n",
    "# Set image_path to the local path of an image that you want to analyze.\n",
    "# Sample images are here, if needed:\n",
    "# https://github.com/Azure-Samples/cognitive-services-sample-data-files/tree/master/ComputerVision/Images\n",
    "image_path = \"C:\\Users\\HP\\Desktop\\远程分析图片.jpeg\"\n",
    "\n",
    "# Read the image into a byte array\n",
    "image_data = open(image_path, \"rb\").read()\n",
    "headers = {'Ocp-Apim-Subscription-Key': subscription_key,\n",
    "           'Content-Type': 'application/octet-stream'}\n",
    "params = {'visualFeatures': 'Categories,Description,Color'}\n",
    "response = requests.post(\n",
    "    analyze_url, headers=headers, params=params, data=image_data)\n",
    "response.raise_for_status()\n",
    "\n",
    "# The 'analysis' object contains various fields that describe the image. The most\n",
    "# relevant caption for the image is obtained from the 'description' property.\n",
    "analysis = response.json()\n",
    "print(analysis)\n",
    "image_caption = analysis[\"description\"][\"captions\"][0][\"text\"].capitalize()\n",
    "\n",
    "# Display the image and overlay it with the caption.\n",
    "image = Image.open(BytesIO(image_data))\n",
    "plt.imshow(image)\n",
    "plt.axis(\"off\")\n",
    "_ = plt.title(image_caption, size=\"x-large\", y=-0.1)\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": [
    "# 4.提取印刷体文本和手写文本"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 22,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "{\n",
      "    \"status\": \"running\",\n",
      "    \"createdDateTime\": \"2020-10-23T13:52:12Z\",\n",
      "    \"lastUpdatedDateTime\": \"2020-10-23T13:52:12Z\"\n",
      "}\n",
      "{\n",
      "    \"status\": \"succeeded\",\n",
      "    \"createdDateTime\": \"2020-10-23T13:52:12Z\",\n",
      "    \"lastUpdatedDateTime\": \"2020-10-23T13:52:13Z\",\n",
      "    \"analyzeResult\": {\n",
      "        \"version\": \"3.0.0\",\n",
      "        \"readResults\": [\n",
      "            {\n",
      "                \"page\": 1,\n",
      "                \"angle\": 0.2003,\n",
      "                \"width\": 272,\n",
      "                \"height\": 240,\n",
      "                \"unit\": \"pixel\",\n",
      "                \"lines\": [\n",
      "                    {\n",
      "                        \"boundingBox\": [\n",
      "                            63,\n",
      "                            16,\n",
      "                            206,\n",
      "                            17,\n",
      "                            206,\n",
      "                            28,\n",
      "                            63,\n",
      "                            28\n",
      "                        ],\n",
      "                        \"text\": \"Planning Is Good, But Doing Is Better\",\n",
      "                        \"words\": [\n",
      "                            {\n",
      "                                \"boundingBox\": [\n",
      "                                    64,\n",
      "                                    17,\n",
      "                                    92,\n",
      "                                    17,\n",
      "                                    91,\n",
      "                                    29,\n",
      "                                    63,\n",
      "                                    28\n",
      "                                ],\n",
      "                                \"text\": \"Planning\",\n",
      "                                \"confidence\": 0.786\n",
      "                            },\n",
      "                            {\n",
      "                                \"boundingBox\": [\n",
      "                                    94,\n",
      "                                    17,\n",
      "                                    105,\n",
      "                                    17,\n",
      "                                    104,\n",
      "                                    29,\n",
      "                                    94,\n",
      "                                    29\n",
      "                                ],\n",
      "                                \"text\": \"Is\",\n",
      "                                \"confidence\": 0.98\n",
      "                            },\n",
      "                            {\n",
      "                                \"boundingBox\": [\n",
      "                                    107,\n",
      "                                    17,\n",
      "                                    128,\n",
      "                                    17,\n",
      "                                    128,\n",
      "                                    29,\n",
      "                                    107,\n",
      "                                    29\n",
      "                                ],\n",
      "                                \"text\": \"Good,\",\n",
      "                                \"confidence\": 0.735\n",
      "                            },\n",
      "                            {\n",
      "                                \"boundingBox\": [\n",
      "                                    130,\n",
      "                                    17,\n",
      "                                    146,\n",
      "                                    17,\n",
      "                                    145,\n",
      "                                    29,\n",
      "                                    130,\n",
      "                                    29\n",
      "                                ],\n",
      "                                \"text\": \"But\",\n",
      "                                \"confidence\": 0.985\n",
      "                            },\n",
      "                            {\n",
      "                                \"boundingBox\": [\n",
      "                                    148,\n",
      "                                    17,\n",
      "                                    167,\n",
      "                                    17,\n",
      "                                    166,\n",
      "                                    29,\n",
      "                                    147,\n",
      "                                    29\n",
      "                                ],\n",
      "                                \"text\": \"Doing\",\n",
      "                                \"confidence\": 0.981\n",
      "                            },\n",
      "                            {\n",
      "                                \"boundingBox\": [\n",
      "                                    169,\n",
      "                                    17,\n",
      "                                    180,\n",
      "                                    17,\n",
      "                                    179,\n",
      "                                    29,\n",
      "                                    169,\n",
      "                                    29\n",
      "                                ],\n",
      "                                \"text\": \"Is\",\n",
      "                                \"confidence\": 0.981\n",
      "                            },\n",
      "                            {\n",
      "                                \"boundingBox\": [\n",
      "                                    182,\n",
      "                                    17,\n",
      "                                    206,\n",
      "                                    17,\n",
      "                                    206,\n",
      "                                    29,\n",
      "                                    182,\n",
      "                                    29\n",
      "                                ],\n",
      "                                \"text\": \"Better\",\n",
      "                                \"confidence\": 0.973\n",
      "                            }\n",
      "                        ]\n",
      "                    },\n",
      "                    {\n",
      "                        \"boundingBox\": [\n",
      "                            34,\n",
      "                            32,\n",
      "                            250,\n",
      "                            32,\n",
      "                            250,\n",
      "                            43,\n",
      "                            34,\n",
      "                            43\n",
      "                        ],\n",
      "                        \"text\": \"Planning is good as it decides in detail what and how we\",\n",
      "                        \"words\": [\n",
      "                            {\n",
      "                                \"boundingBox\": [\n",
      "                                    35,\n",
      "                                    33,\n",
      "                                    63,\n",
      "                                    33,\n",
      "                                    63,\n",
      "                                    44,\n",
      "                                    34,\n",
      "                                    44\n",
      "                                ],\n",
      "                                \"text\": \"Planning\",\n",
      "                                \"confidence\": 0.851\n",
      "                            },\n",
      "                            {\n",
      "                                \"boundingBox\": [\n",
      "                                    66,\n",
      "                                    33,\n",
      "                                    74,\n",
      "                                    33,\n",
      "                                    74,\n",
      "                                    44,\n",
      "                                    65,\n",
      "                                    44\n",
      "                                ],\n",
      "                                \"text\": \"is\",\n",
      "                                \"confidence\": 0.988\n",
      "                            },\n",
      "                            {\n",
      "                                \"boundingBox\": [\n",
      "                                    76,\n",
      "                                    33,\n",
      "                                    94,\n",
      "                                    33,\n",
      "                                    93,\n",
      "                                    44,\n",
      "                                    76,\n",
      "                                    44\n",
      "                                ],\n",
      "                                \"text\": \"good\",\n",
      "                                \"confidence\": 0.896\n",
      "                            },\n",
      "                            {\n",
      "                                \"boundingBox\": [\n",
      "                                    96,\n",
      "                                    33,\n",
      "                                    105,\n",
      "                                    33,\n",
      "                                    104,\n",
      "                                    44,\n",
      "                                    95,\n",
      "                                    44\n",
      "                                ],\n",
      "                                \"text\": \"as\",\n",
      "                                \"confidence\": 0.853\n",
      "                            },\n",
      "                            {\n",
      "                                \"boundingBox\": [\n",
      "                                    107,\n",
      "                                    33,\n",
      "                                    116,\n",
      "                                    33,\n",
      "                                    115,\n",
      "                                    44,\n",
      "                                    107,\n",
      "                                    44\n",
      "                                ],\n",
      "                                \"text\": \"it\",\n",
      "                                \"confidence\": 0.983\n",
      "                            },\n",
      "                            {\n",
      "                                \"boundingBox\": [\n",
      "                                    118,\n",
      "                                    33,\n",
      "                                    145,\n",
      "                                    33,\n",
      "                                    145,\n",
      "                                    44,\n",
      "                                    117,\n",
      "                                    44\n",
      "                                ],\n",
      "                                \"text\": \"decides\",\n",
      "                                \"confidence\": 0.815\n",
      "                            },\n",
      "                            {\n",
      "                                \"boundingBox\": [\n",
      "                                    147,\n",
      "                                    33,\n",
      "                                    156,\n",
      "                                    33,\n",
      "                                    155,\n",
      "                                    44,\n",
      "                                    147,\n",
      "                                    44\n",
      "                                ],\n",
      "                                \"text\": \"in\",\n",
      "                                \"confidence\": 0.987\n",
      "                            },\n",
      "                            {\n",
      "                                \"boundingBox\": [\n",
      "                                    158,\n",
      "                                    33,\n",
      "                                    180,\n",
      "                                    33,\n",
      "                                    180,\n",
      "                                    44,\n",
      "                                    158,\n",
      "                                    44\n",
      "                                ],\n",
      "                                \"text\": \"detail\",\n",
      "                                \"confidence\": 0.684\n",
      "                            },\n",
      "                            {\n",
      "                                \"boundingBox\": [\n",
      "                                    182,\n",
      "                                    33,\n",
      "                                    203,\n",
      "                                    33,\n",
      "                                    202,\n",
      "                                    44,\n",
      "                                    182,\n",
      "                                    44\n",
      "                                ],\n",
      "                                \"text\": \"what\",\n",
      "                                \"confidence\": 0.934\n",
      "                            },\n",
      "                            {\n",
      "                                \"boundingBox\": [\n",
      "                                    205,\n",
      "                                    33,\n",
      "                                    218,\n",
      "                                    33,\n",
      "                                    218,\n",
      "                                    44,\n",
      "                                    204,\n",
      "                                    44\n",
      "                                ],\n",
      "                                \"text\": \"and\",\n",
      "                                \"confidence\": 0.946\n",
      "                            },\n",
      "                            {\n",
      "                                \"boundingBox\": [\n",
      "                                    220,\n",
      "                                    33,\n",
      "                                    235,\n",
      "                                    33,\n",
      "                                    235,\n",
      "                                    43,\n",
      "                                    220,\n",
      "                                    44\n",
      "                                ],\n",
      "                                \"text\": \"how\",\n",
      "                                \"confidence\": 0.962\n",
      "                            },\n",
      "                            {\n",
      "                                \"boundingBox\": [\n",
      "                                    238,\n",
      "                                    33,\n",
      "                                    251,\n",
      "                                    33,\n",
      "                                    250,\n",
      "                                    43,\n",
      "                                    237,\n",
      "                                    43\n",
      "                                ],\n",
      "                                \"text\": \"we\",\n",
      "                                \"confidence\": 0.882\n",
      "                            }\n",
      "                        ]\n",
      "                    },\n",
      "                    {\n",
      "                        \"boundingBox\": [\n",
      "                            19,\n",
      "                            47,\n",
      "                            251,\n",
      "                            48,\n",
      "                            251,\n",
      "                            59,\n",
      "                            19,\n",
      "                            58\n",
      "                        ],\n",
      "                        \"text\": \"do. However, a plan con bear no fruit without being actually\",\n",
      "                        \"words\": [\n",
      "                            {\n",
      "                                \"boundingBox\": [\n",
      "                                    20,\n",
      "                                    48,\n",
      "                                    34,\n",
      "                                    48,\n",
      "                                    34,\n",
      "                                    59,\n",
      "                                    20,\n",
      "                                    58\n",
      "                                ],\n",
      "                                \"text\": \"do.\",\n",
      "                                \"confidence\": 0.961\n",
      "                            },\n",
      "                            {\n",
      "                                \"boundingBox\": [\n",
      "                                    36,\n",
      "                                    48,\n",
      "                                    69,\n",
      "                                    48,\n",
      "                                    69,\n",
      "                                    59,\n",
      "                                    36,\n",
      "                                    59\n",
      "                                ],\n",
      "                                \"text\": \"However,\",\n",
      "                                \"confidence\": 0.786\n",
      "                            },\n",
      "                            {\n",
      "                                \"boundingBox\": [\n",
      "                                    71,\n",
      "                                    48,\n",
      "                                    77,\n",
      "                                    48,\n",
      "                                    77,\n",
      "                                    59,\n",
      "                                    71,\n",
      "                                    59\n",
      "                                ],\n",
      "                                \"text\": \"a\",\n",
      "                                \"confidence\": 0.975\n",
      "                            },\n",
      "                            {\n",
      "                                \"boundingBox\": [\n",
      "                                    79,\n",
      "                                    48,\n",
      "                                    95,\n",
      "                                    48,\n",
      "                                    94,\n",
      "                                    59,\n",
      "                                    79,\n",
      "                                    59\n",
      "                                ],\n",
      "                                \"text\": \"plan\",\n",
      "                                \"confidence\": 0.974\n",
      "                            },\n",
      "                            {\n",
      "                                \"boundingBox\": [\n",
      "                                    97,\n",
      "                                    48,\n",
      "                                    112,\n",
      "                                    48,\n",
      "                                    111,\n",
      "                                    59,\n",
      "                                    97,\n",
      "                                    59\n",
      "                                ],\n",
      "                                \"text\": \"con\",\n",
      "                                \"confidence\": 0.58\n",
      "                            },\n",
      "                            {\n",
      "                                \"boundingBox\": [\n",
      "                                    114,\n",
      "                                    48,\n",
      "                                    131,\n",
      "                                    48,\n",
      "                                    131,\n",
      "                                    59,\n",
      "                                    113,\n",
      "                                    59\n",
      "                                ],\n",
      "                                \"text\": \"bear\",\n",
      "                                \"confidence\": 0.902\n",
      "                            },\n",
      "                            {\n",
      "                                \"boundingBox\": [\n",
      "                                    133,\n",
      "                                    48,\n",
      "                                    142,\n",
      "                                    48,\n",
      "                                    142,\n",
      "                                    59,\n",
      "                                    133,\n",
      "                                    59\n",
      "                                ],\n",
      "                                \"text\": \"no\",\n",
      "                                \"confidence\": 0.986\n",
      "                            },\n",
      "                            {\n",
      "                                \"boundingBox\": [\n",
      "                                    144,\n",
      "                                    48,\n",
      "                                    166,\n",
      "                                    48,\n",
      "                                    166,\n",
      "                                    59,\n",
      "                                    144,\n",
      "                                    59\n",
      "                                ],\n",
      "                                \"text\": \"fruit\",\n",
      "                                \"confidence\": 0.971\n",
      "                            },\n",
      "                            {\n",
      "                                \"boundingBox\": [\n",
      "                                    168,\n",
      "                                    48,\n",
      "                                    196,\n",
      "                                    48,\n",
      "                                    196,\n",
      "                                    59,\n",
      "                                    168,\n",
      "                                    59\n",
      "                                ],\n",
      "                                \"text\": \"without\",\n",
      "                                \"confidence\": 0.974\n",
      "                            },\n",
      "                            {\n",
      "                                \"boundingBox\": [\n",
      "                                    198,\n",
      "                                    48,\n",
      "                                    219,\n",
      "                                    48,\n",
      "                                    218,\n",
      "                                    59,\n",
      "                                    198,\n",
      "                                    59\n",
      "                                ],\n",
      "                                \"text\": \"being\",\n",
      "                                \"confidence\": 0.985\n",
      "                            },\n",
      "                            {\n",
      "                                \"boundingBox\": [\n",
      "                                    221,\n",
      "                                    48,\n",
      "                                    251,\n",
      "                                    48,\n",
      "                                    251,\n",
      "                                    59,\n",
      "                                    220,\n",
      "                                    59\n",
      "                                ],\n",
      "                                \"text\": \"actually\",\n",
      "                                \"confidence\": 0.652\n",
      "                            }\n",
      "                        ]\n",
      "                    },\n",
      "                    {\n",
      "                        \"boundingBox\": [\n",
      "                            19,\n",
      "                            63,\n",
      "                            64,\n",
      "                            63,\n",
      "                            64,\n",
      "                            72,\n",
      "                            19,\n",
      "                            72\n",
      "                        ],\n",
      "                        \"text\": \"carried out.\",\n",
      "                        \"words\": [\n",
      "                            {\n",
      "                                \"boundingBox\": [\n",
      "                                    19,\n",
      "                                    63,\n",
      "                                    45,\n",
      "                                    63,\n",
      "                                    45,\n",
      "                                    73,\n",
      "                                    19,\n",
      "                                    73\n",
      "                                ],\n",
      "                                \"text\": \"carried\",\n",
      "                                \"confidence\": 0.693\n",
      "                            },\n",
      "                            {\n",
      "                                \"boundingBox\": [\n",
      "                                    47,\n",
      "                                    63,\n",
      "                                    64,\n",
      "                                    63,\n",
      "                                    64,\n",
      "                                    73,\n",
      "                                    46,\n",
      "                                    73\n",
      "                                ],\n",
      "                                \"text\": \"out.\",\n",
      "                                \"confidence\": 0.944\n",
      "                            }\n",
      "                        ]\n",
      "                    },\n",
      "                    {\n",
      "                        \"boundingBox\": [\n",
      "                            34,\n",
      "                            77,\n",
      "                            250,\n",
      "                            77,\n",
      "                            250,\n",
      "                            88,\n",
      "                            34,\n",
      "                            89\n",
      "                        ],\n",
      "                        \"text\": \"My experience in the English speech contest last October\",\n",
      "                        \"words\": [\n",
      "                            {\n",
      "                                \"boundingBox\": [\n",
      "                                    34,\n",
      "                                    78,\n",
      "                                    46,\n",
      "                                    78,\n",
      "                                    46,\n",
      "                                    89,\n",
      "                                    34,\n",
      "                                    89\n",
      "                                ],\n",
      "                                \"text\": \"My\",\n",
      "                                \"confidence\": 0.987\n",
      "                            },\n",
      "                            {\n",
      "                                \"boundingBox\": [\n",
      "                                    48,\n",
      "                                    78,\n",
      "                                    86,\n",
      "                                    77,\n",
      "                                    86,\n",
      "                                    89,\n",
      "                                    48,\n",
      "                                    89\n",
      "                                ],\n",
      "                                \"text\": \"experience\",\n",
      "                                \"confidence\": 0.638\n",
      "                            },\n",
      "                            {\n",
      "                                \"boundingBox\": [\n",
      "                                    89,\n",
      "                                    77,\n",
      "                                    98,\n",
      "                                    77,\n",
      "                                    98,\n",
      "                                    89,\n",
      "                                    88,\n",
      "                                    89\n",
      "                                ],\n",
      "                                \"text\": \"in\",\n",
      "                                \"confidence\": 0.964\n",
      "                            },\n",
      "                            {\n",
      "                                \"boundingBox\": [\n",
      "                                    100,\n",
      "                                    77,\n",
      "                                    113,\n",
      "                                    77,\n",
      "                                    113,\n",
      "                                    89,\n",
      "                                    100,\n",
      "                                    89\n",
      "                                ],\n",
      "                                \"text\": \"the\",\n",
      "                                \"confidence\": 0.969\n",
      "                            },\n",
      "                            {\n",
      "                                \"boundingBox\": [\n",
      "                                    115,\n",
      "                                    77,\n",
      "                                    142,\n",
      "                                    77,\n",
      "                                    142,\n",
      "                                    89,\n",
      "                                    115,\n",
      "                                    89\n",
      "                                ],\n",
      "                                \"text\": \"English\",\n",
      "                                \"confidence\": 0.979\n",
      "                            },\n",
      "                            {\n",
      "                                \"boundingBox\": [\n",
      "                                    145,\n",
      "                                    77,\n",
      "                                    169,\n",
      "                                    77,\n",
      "                                    169,\n",
      "                                    89,\n",
      "                                    144,\n",
      "                                    89\n",
      "                                ],\n",
      "                                \"text\": \"speech\",\n",
      "                                \"confidence\": 0.944\n",
      "                            },\n",
      "                            {\n",
      "                                \"boundingBox\": [\n",
      "                                    171,\n",
      "                                    77,\n",
      "                                    200,\n",
      "                                    77,\n",
      "                                    199,\n",
      "                                    89,\n",
      "                                    171,\n",
      "                                    89\n",
      "                                ],\n",
      "                                \"text\": \"contest\",\n",
      "                                \"confidence\": 0.952\n",
      "                            },\n",
      "                            {\n",
      "                                \"boundingBox\": [\n",
      "                                    202,\n",
      "                                    77,\n",
      "                                    217,\n",
      "                                    78,\n",
      "                                    217,\n",
      "                                    89,\n",
      "                                    202,\n",
      "                                    89\n",
      "                                ],\n",
      "                                \"text\": \"last\",\n",
      "                                \"confidence\": 0.926\n",
      "                            },\n",
      "                            {\n",
      "                                \"boundingBox\": [\n",
      "                                    220,\n",
      "                                    78,\n",
      "                                    250,\n",
      "                                    78,\n",
      "                                    250,\n",
      "                                    89,\n",
      "                                    219,\n",
      "                                    89\n",
      "                                ],\n",
      "                                \"text\": \"October\",\n",
      "                                \"confidence\": 0.772\n",
      "                            }\n",
      "                        ]\n",
      "                    },\n",
      "                    {\n",
      "                        \"boundingBox\": [\n",
      "                            19,\n",
      "                            92,\n",
      "                            251,\n",
      "                            92,\n",
      "                            251,\n",
      "                            104,\n",
      "                            19,\n",
      "                            103\n",
      "                        ],\n",
      "                        \"text\": \"is a case in point. A month before the event. I spent hours\",\n",
      "                        \"words\": [\n",
      "                            {\n",
      "                                \"boundingBox\": [\n",
      "                                    20,\n",
      "                                    94,\n",
      "                                    28,\n",
      "                                    94,\n",
      "                                    28,\n",
      "                                    103,\n",
      "                                    19,\n",
      "                                    103\n",
      "                                ],\n",
      "                                \"text\": \"is\",\n",
      "                                \"confidence\": 0.986\n",
      "                            },\n",
      "                            {\n",
      "                                \"boundingBox\": [\n",
      "                                    30,\n",
      "                                    94,\n",
      "                                    36,\n",
      "                                    93,\n",
      "                                    36,\n",
      "                                    103,\n",
      "                                    30,\n",
      "                                    103\n",
      "                                ],\n",
      "                                \"text\": \"a\",\n",
      "                                \"confidence\": 0.836\n",
      "                            },\n",
      "                            {\n",
      "                                \"boundingBox\": [\n",
      "                                    38,\n",
      "                                    93,\n",
      "                                    55,\n",
      "                                    93,\n",
      "                                    54,\n",
      "                                    103,\n",
      "                                    38,\n",
      "                                    103\n",
      "                                ],\n",
      "                                \"text\": \"case\",\n",
      "                                \"confidence\": 0.979\n",
      "                            },\n",
      "                            {\n",
      "                                \"boundingBox\": [\n",
      "                                    57,\n",
      "                                    93,\n",
      "                                    66,\n",
      "                                    93,\n",
      "                                    66,\n",
      "                                    104,\n",
      "                                    56,\n",
      "                                    103\n",
      "                                ],\n",
      "                                \"text\": \"in\",\n",
      "                                \"confidence\": 0.986\n",
      "                            },\n",
      "                            {\n",
      "                                \"boundingBox\": [\n",
      "                                    68,\n",
      "                                    93,\n",
      "                                    93,\n",
      "                                    93,\n",
      "                                    93,\n",
      "                                    104,\n",
      "                                    68,\n",
      "                                    104\n",
      "                                ],\n",
      "                                \"text\": \"point.\",\n",
      "                                \"confidence\": 0.869\n",
      "                            },\n",
      "                            {\n",
      "                                \"boundingBox\": [\n",
      "                                    95,\n",
      "                                    93,\n",
      "                                    104,\n",
      "                                    93,\n",
      "                                    103,\n",
      "                                    104,\n",
      "                                    95,\n",
      "                                    104\n",
      "                                ],\n",
      "                                \"text\": \"A\",\n",
      "                                \"confidence\": 0.986\n",
      "                            },\n",
      "                            {\n",
      "                                \"boundingBox\": [\n",
      "                                    106,\n",
      "                                    93,\n",
      "                                    128,\n",
      "                                    93,\n",
      "                                    127,\n",
      "                                    104,\n",
      "                                    105,\n",
      "                                    104\n",
      "                                ],\n",
      "                                \"text\": \"month\",\n",
      "                                \"confidence\": 0.97\n",
      "                            },\n",
      "                            {\n",
      "                                \"boundingBox\": [\n",
      "                                    130,\n",
      "                                    93,\n",
      "                                    154,\n",
      "                                    93,\n",
      "                                    153,\n",
      "                                    104,\n",
      "                                    129,\n",
      "                                    104\n",
      "                                ],\n",
      "                                \"text\": \"before\",\n",
      "                                \"confidence\": 0.959\n",
      "                            },\n",
      "                            {\n",
      "                                \"boundingBox\": [\n",
      "                                    155,\n",
      "                                    93,\n",
      "                                    170,\n",
      "                                    93,\n",
      "                                    170,\n",
      "                                    104,\n",
      "                                    155,\n",
      "                                    104\n",
      "                                ],\n",
      "                                \"text\": \"the\",\n",
      "                                \"confidence\": 0.981\n",
      "                            },\n",
      "                            {\n",
      "                                \"boundingBox\": [\n",
      "                                    172,\n",
      "                                    93,\n",
      "                                    197,\n",
      "                                    93,\n",
      "                                    196,\n",
      "                                    104,\n",
      "                                    172,\n",
      "                                    104\n",
      "                                ],\n",
      "                                \"text\": \"event.\",\n",
      "                                \"confidence\": 0.827\n",
      "                            },\n",
      "                            {\n",
      "                                \"boundingBox\": [\n",
      "                                    198,\n",
      "                                    93,\n",
      "                                    204,\n",
      "                                    93,\n",
      "                                    203,\n",
      "                                    104,\n",
      "                                    198,\n",
      "                                    104\n",
      "                                ],\n",
      "                                \"text\": \"I\",\n",
      "                                \"confidence\": 0.933\n",
      "                            },\n",
      "                            {\n",
      "                                \"boundingBox\": [\n",
      "                                    206,\n",
      "                                    93,\n",
      "                                    229,\n",
      "                                    93,\n",
      "                                    228,\n",
      "                                    104,\n",
      "                                    205,\n",
      "                                    104\n",
      "                                ],\n",
      "                                \"text\": \"spent\",\n",
      "                                \"confidence\": 0.98\n",
      "                            },\n",
      "                            {\n",
      "                                \"boundingBox\": [\n",
      "                                    230,\n",
      "                                    93,\n",
      "                                    251,\n",
      "                                    94,\n",
      "                                    251,\n",
      "                                    104,\n",
      "                                    230,\n",
      "                                    104\n",
      "                                ],\n",
      "                                \"text\": \"hours\",\n",
      "                                \"confidence\": 0.981\n",
      "                            }\n",
      "                        ]\n",
      "                    },\n",
      "                    {\n",
      "                        \"boundingBox\": [\n",
      "                            18,\n",
      "                            107,\n",
      "                            248,\n",
      "                            108,\n",
      "                            248,\n",
      "                            120,\n",
      "                            18,\n",
      "                            118\n",
      "                        ],\n",
      "                        \"text\": \"working out a schedule, outlining my goals and practical steps.\",\n",
      "                        \"words\": [\n",
      "                            {\n",
      "                                \"boundingBox\": [\n",
      "                                    20,\n",
      "                                    108,\n",
      "                                    47,\n",
      "                                    108,\n",
      "                                    47,\n",
      "                                    119,\n",
      "                                    20,\n",
      "                                    118\n",
      "                                ],\n",
      "                                \"text\": \"working\",\n",
      "                                \"confidence\": 0.913\n",
      "                            },\n",
      "                            {\n",
      "                                \"boundingBox\": [\n",
      "                                    49,\n",
      "                                    108,\n",
      "                                    62,\n",
      "                                    108,\n",
      "                                    62,\n",
      "                                    119,\n",
      "                                    49,\n",
      "                                    119\n",
      "                                ],\n",
      "                                \"text\": \"out\",\n",
      "                                \"confidence\": 0.98\n",
      "                            },\n",
      "                            {\n",
      "                                \"boundingBox\": [\n",
      "                                    65,\n",
      "                                    108,\n",
      "                                    69,\n",
      "                                    108,\n",
      "                                    69,\n",
      "                                    119,\n",
      "                                    65,\n",
      "                                    119\n",
      "                                ],\n",
      "                                \"text\": \"a\",\n",
      "                                \"confidence\": 0.967\n",
      "                            },\n",
      "                            {\n",
      "                                \"boundingBox\": [\n",
      "                                    71,\n",
      "                                    108,\n",
      "                                    105,\n",
      "                                    108,\n",
      "                                    105,\n",
      "                                    119,\n",
      "                                    71,\n",
      "                                    119\n",
      "                                ],\n",
      "                                \"text\": \"schedule,\",\n",
      "                                \"confidence\": 0.827\n",
      "                            },\n",
      "                            {\n",
      "                                \"boundingBox\": [\n",
      "                                    107,\n",
      "                                    108,\n",
      "                                    141,\n",
      "                                    108,\n",
      "                                    141,\n",
      "                                    120,\n",
      "                                    107,\n",
      "                                    119\n",
      "                                ],\n",
      "                                \"text\": \"outlining\",\n",
      "                                \"confidence\": 0.863\n",
      "                            },\n",
      "                            {\n",
      "                                \"boundingBox\": [\n",
      "                                    143,\n",
      "                                    108,\n",
      "                                    154,\n",
      "                                    108,\n",
      "                                    154,\n",
      "                                    120,\n",
      "                                    143,\n",
      "                                    120\n",
      "                                ],\n",
      "                                \"text\": \"my\",\n",
      "                                \"confidence\": 0.985\n",
      "                            },\n",
      "                            {\n",
      "                                \"boundingBox\": [\n",
      "                                    156,\n",
      "                                    108,\n",
      "                                    174,\n",
      "                                    108,\n",
      "                                    174,\n",
      "                                    120,\n",
      "                                    156,\n",
      "                                    120\n",
      "                                ],\n",
      "                                \"text\": \"goals\",\n",
      "                                \"confidence\": 0.913\n",
      "                            },\n",
      "                            {\n",
      "                                \"boundingBox\": [\n",
      "                                    177,\n",
      "                                    108,\n",
      "                                    190,\n",
      "                                    108,\n",
      "                                    190,\n",
      "                                    120,\n",
      "                                    176,\n",
      "                                    120\n",
      "                                ],\n",
      "                                \"text\": \"and\",\n",
      "                                \"confidence\": 0.986\n",
      "                            },\n",
      "                            {\n",
      "                                \"boundingBox\": [\n",
      "                                    192,\n",
      "                                    108,\n",
      "                                    224,\n",
      "                                    108,\n",
      "                                    224,\n",
      "                                    120,\n",
      "                                    192,\n",
      "                                    120\n",
      "                                ],\n",
      "                                \"text\": \"practical\",\n",
      "                                \"confidence\": 0.919\n",
      "                            },\n",
      "                            {\n",
      "                                \"boundingBox\": [\n",
      "                                    226,\n",
      "                                    108,\n",
      "                                    248,\n",
      "                                    109,\n",
      "                                    248,\n",
      "                                    120,\n",
      "                                    226,\n",
      "                                    120\n",
      "                                ],\n",
      "                                \"text\": \"steps.\",\n",
      "                                \"confidence\": 0.907\n",
      "                            }\n",
      "                        ]\n",
      "                    },\n",
      "                    {\n",
      "                        \"boundingBox\": [\n",
      "                            19,\n",
      "                            122,\n",
      "                            249,\n",
      "                            123,\n",
      "                            249,\n",
      "                            135,\n",
      "                            19,\n",
      "                            133\n",
      "                        ],\n",
      "                        \"text\": \"After that, I set out to read widely for an inspiring topic.\",\n",
      "                        \"words\": [\n",
      "                            {\n",
      "                                \"boundingBox\": [\n",
      "                                    21,\n",
      "                                    122,\n",
      "                                    41,\n",
      "                                    122,\n",
      "                                    40,\n",
      "                                    133,\n",
      "                                    20,\n",
      "                                    133\n",
      "                                ],\n",
      "                                \"text\": \"After\",\n",
      "                                \"confidence\": 0.975\n",
      "                            },\n",
      "                            {\n",
      "                                \"boundingBox\": [\n",
      "                                    43,\n",
      "                                    122,\n",
      "                                    65,\n",
      "                                    122,\n",
      "                                    64,\n",
      "                                    133,\n",
      "                                    42,\n",
      "                                    133\n",
      "                                ],\n",
      "                                \"text\": \"that,\",\n",
      "                                \"confidence\": 0.69\n",
      "                            },\n",
      "                            {\n",
      "                                \"boundingBox\": [\n",
      "                                    67,\n",
      "                                    122,\n",
      "                                    73,\n",
      "                                    122,\n",
      "                                    73,\n",
      "                                    133,\n",
      "                                    66,\n",
      "                                    133\n",
      "                                ],\n",
      "                                \"text\": \"I\",\n",
      "                                \"confidence\": 0.981\n",
      "                            },\n",
      "                            {\n",
      "                                \"boundingBox\": [\n",
      "                                    75,\n",
      "                                    122,\n",
      "                                    88,\n",
      "                                    123,\n",
      "                                    88,\n",
      "                                    134,\n",
      "                                    75,\n",
      "                                    133\n",
      "                                ],\n",
      "                                \"text\": \"set\",\n",
      "                                \"confidence\": 0.979\n",
      "                            },\n",
      "                            {\n",
      "                                \"boundingBox\": [\n",
      "                                    90,\n",
      "                                    123,\n",
      "                                    105,\n",
      "                                    123,\n",
      "                                    105,\n",
      "                                    134,\n",
      "                                    90,\n",
      "                                    134\n",
      "                                ],\n",
      "                                \"text\": \"out\",\n",
      "                                \"confidence\": 0.973\n",
      "                            },\n",
      "                            {\n",
      "                                \"boundingBox\": [\n",
      "                                    107,\n",
      "                                    123,\n",
      "                                    116,\n",
      "                                    123,\n",
      "                                    116,\n",
      "                                    134,\n",
      "                                    107,\n",
      "                                    134\n",
      "                                ],\n",
      "                                \"text\": \"to\",\n",
      "                                \"confidence\": 0.983\n",
      "                            },\n",
      "                            {\n",
      "                                \"boundingBox\": [\n",
      "                                    118,\n",
      "                                    123,\n",
      "                                    138,\n",
      "                                    123,\n",
      "                                    138,\n",
      "                                    134,\n",
      "                                    118,\n",
      "                                    134\n",
      "                                ],\n",
      "                                \"text\": \"read\",\n",
      "                                \"confidence\": 0.946\n",
      "                            },\n",
      "                            {\n",
      "                                \"boundingBox\": [\n",
      "                                    140,\n",
      "                                    123,\n",
      "                                    162,\n",
      "                                    123,\n",
      "                                    162,\n",
      "                                    135,\n",
      "                                    140,\n",
      "                                    134\n",
      "                                ],\n",
      "                                \"text\": \"widely\",\n",
      "                                \"confidence\": 0.635\n",
      "                            },\n",
      "                            {\n",
      "                                \"boundingBox\": [\n",
      "                                    164,\n",
      "                                    123,\n",
      "                                    178,\n",
      "                                    123,\n",
      "                                    178,\n",
      "                                    135,\n",
      "                                    164,\n",
      "                                    135\n",
      "                                ],\n",
      "                                \"text\": \"for\",\n",
      "                                \"confidence\": 0.985\n",
      "                            },\n",
      "                            {\n",
      "                                \"boundingBox\": [\n",
      "                                    180,\n",
      "                                    123,\n",
      "                                    190,\n",
      "                                    123,\n",
      "                                    189,\n",
      "                                    135,\n",
      "                                    180,\n",
      "                                    135\n",
      "                                ],\n",
      "                                \"text\": \"an\",\n",
      "                                \"confidence\": 0.801\n",
      "                            },\n",
      "                            {\n",
      "                                \"boundingBox\": [\n",
      "                                    192,\n",
      "                                    123,\n",
      "                                    225,\n",
      "                                    123,\n",
      "                                    225,\n",
      "                                    135,\n",
      "                                    191,\n",
      "                                    135\n",
      "                                ],\n",
      "                                \"text\": \"inspiring\",\n",
      "                                \"confidence\": 0.974\n",
      "                            },\n",
      "                            {\n",
      "                                \"boundingBox\": [\n",
      "                                    227,\n",
      "                                    123,\n",
      "                                    249,\n",
      "                                    124,\n",
      "                                    249,\n",
      "                                    135,\n",
      "                                    227,\n",
      "                                    135\n",
      "                                ],\n",
      "                                \"text\": \"topic.\",\n",
      "                                \"confidence\": 0.651\n",
      "                            }\n",
      "                        ]\n",
      "                    },\n",
      "                    {\n",
      "                        \"boundingBox\": [\n",
      "                            17,\n",
      "                            137,\n",
      "                            251,\n",
      "                            137,\n",
      "                            251,\n",
      "                            149,\n",
      "                            17,\n",
      "                            149\n",
      "                        ],\n",
      "                        \"text\": \"wrote a speech, and practiced it in beautiful pronunciation with\",\n",
      "                        \"words\": [\n",
      "                            {\n",
      "                                \"boundingBox\": [\n",
      "                                    20,\n",
      "                                    138,\n",
      "                                    40,\n",
      "                                    138,\n",
      "                                    40,\n",
      "                                    149,\n",
      "                                    20,\n",
      "                                    149\n",
      "                                ],\n",
      "                                \"text\": \"wrote\",\n",
      "                                \"confidence\": 0.69\n",
      "                            },\n",
      "                            {\n",
      "                                \"boundingBox\": [\n",
      "                                    42,\n",
      "                                    138,\n",
      "                                    47,\n",
      "                                    138,\n",
      "                                    47,\n",
      "                                    149,\n",
      "                                    42,\n",
      "                                    149\n",
      "                                ],\n",
      "                                \"text\": \"a\",\n",
      "                                \"confidence\": 0.955\n",
      "                            },\n",
      "                            {\n",
      "                                \"boundingBox\": [\n",
      "                                    49,\n",
      "                                    138,\n",
      "                                    77,\n",
      "                                    138,\n",
      "                                    76,\n",
      "                                    149,\n",
      "                                    49,\n",
      "                                    149\n",
      "                                ],\n",
      "                                \"text\": \"speech,\",\n",
      "                                \"confidence\": 0.652\n",
      "                            },\n",
      "                            {\n",
      "                                \"boundingBox\": [\n",
      "                                    79,\n",
      "                                    138,\n",
      "                                    91,\n",
      "                                    138,\n",
      "                                    91,\n",
      "                                    149,\n",
      "                                    78,\n",
      "                                    149\n",
      "                                ],\n",
      "                                \"text\": \"and\",\n",
      "                                \"confidence\": 0.985\n",
      "                            },\n",
      "                            {\n",
      "                                \"boundingBox\": [\n",
      "                                    93,\n",
      "                                    138,\n",
      "                                    125,\n",
      "                                    138,\n",
      "                                    125,\n",
      "                                    150,\n",
      "                                    93,\n",
      "                                    149\n",
      "                                ],\n",
      "                                \"text\": \"practiced\",\n",
      "                                \"confidence\": 0.559\n",
      "                            },\n",
      "                            {\n",
      "                                \"boundingBox\": [\n",
      "                                    127,\n",
      "                                    138,\n",
      "                                    135,\n",
      "                                    138,\n",
      "                                    134,\n",
      "                                    150,\n",
      "                                    127,\n",
      "                                    150\n",
      "                                ],\n",
      "                                \"text\": \"it\",\n",
      "                                \"confidence\": 0.981\n",
      "                            },\n",
      "                            {\n",
      "                                \"boundingBox\": [\n",
      "                                    137,\n",
      "                                    138,\n",
      "                                    146,\n",
      "                                    138,\n",
      "                                    146,\n",
      "                                    150,\n",
      "                                    136,\n",
      "                                    150\n",
      "                                ],\n",
      "                                \"text\": \"in\",\n",
      "                                \"confidence\": 0.982\n",
      "                            },\n",
      "                            {\n",
      "                                \"boundingBox\": [\n",
      "                                    148,\n",
      "                                    138,\n",
      "                                    181,\n",
      "                                    138,\n",
      "                                    180,\n",
      "                                    150,\n",
      "                                    148,\n",
      "                                    150\n",
      "                                ],\n",
      "                                \"text\": \"beautiful\",\n",
      "                                \"confidence\": 0.931\n",
      "                            },\n",
      "                            {\n",
      "                                \"boundingBox\": [\n",
      "                                    183,\n",
      "                                    138,\n",
      "                                    233,\n",
      "                                    138,\n",
      "                                    232,\n",
      "                                    149,\n",
      "                                    182,\n",
      "                                    150\n",
      "                                ],\n",
      "                                \"text\": \"pronunciation\",\n",
      "                                \"confidence\": 0.893\n",
      "                            },\n",
      "                            {\n",
      "                                \"boundingBox\": [\n",
      "                                    235,\n",
      "                                    138,\n",
      "                                    251,\n",
      "                                    139,\n",
      "                                    250,\n",
      "                                    149,\n",
      "                                    234,\n",
      "                                    149\n",
      "                                ],\n",
      "                                \"text\": \"with\",\n",
      "                                \"confidence\": 0.983\n",
      "                            }\n",
      "                        ]\n",
      "                    },\n",
      "                    {\n",
      "                        \"boundingBox\": [\n",
      "                            17,\n",
      "                            152,\n",
      "                            219,\n",
      "                            152,\n",
      "                            219,\n",
      "                            164,\n",
      "                            17,\n",
      "                            164\n",
      "                        ],\n",
      "                        \"text\": \"good public speech skills. 1 finally won the first prize.\",\n",
      "                        \"words\": [\n",
      "                            {\n",
      "                                \"boundingBox\": [\n",
      "                                    18,\n",
      "                                    153,\n",
      "                                    35,\n",
      "                                    153,\n",
      "                                    35,\n",
      "                                    164,\n",
      "                                    19,\n",
      "                                    164\n",
      "                                ],\n",
      "                                \"text\": \"good\",\n",
      "                                \"confidence\": 0.98\n",
      "                            },\n",
      "                            {\n",
      "                                \"boundingBox\": [\n",
      "                                    37,\n",
      "                                    153,\n",
      "                                    59,\n",
      "                                    153,\n",
      "                                    59,\n",
      "                                    164,\n",
      "                                    37,\n",
      "                                    164\n",
      "                                ],\n",
      "                                \"text\": \"public\",\n",
      "                                \"confidence\": 0.975\n",
      "                            },\n",
      "                            {\n",
      "                                \"boundingBox\": [\n",
      "                                    61,\n",
      "                                    153,\n",
      "                                    86,\n",
      "                                    152,\n",
      "                                    86,\n",
      "                                    164,\n",
      "                                    61,\n",
      "                                    164\n",
      "                                ],\n",
      "                                \"text\": \"speech\",\n",
      "                                \"confidence\": 0.921\n",
      "                            },\n",
      "                            {\n",
      "                                \"boundingBox\": [\n",
      "                                    88,\n",
      "                                    152,\n",
      "                                    109,\n",
      "                                    152,\n",
      "                                    109,\n",
      "                                    164,\n",
      "                                    88,\n",
      "                                    164\n",
      "                                ],\n",
      "                                \"text\": \"skills.\",\n",
      "                                \"confidence\": 0.857\n",
      "                            },\n",
      "                            {\n",
      "                                \"boundingBox\": [\n",
      "                                    112,\n",
      "                                    152,\n",
      "                                    117,\n",
      "                                    152,\n",
      "                                    117,\n",
      "                                    164,\n",
      "                                    112,\n",
      "                                    164\n",
      "                                ],\n",
      "                                \"text\": \"1\",\n",
      "                                \"confidence\": 0.74\n",
      "                            },\n",
      "                            {\n",
      "                                \"boundingBox\": [\n",
      "                                    119,\n",
      "                                    152,\n",
      "                                    145,\n",
      "                                    152,\n",
      "                                    145,\n",
      "                                    164,\n",
      "                                    119,\n",
      "                                    164\n",
      "                                ],\n",
      "                                \"text\": \"finally\",\n",
      "                                \"confidence\": 0.947\n",
      "                            },\n",
      "                            {\n",
      "                                \"boundingBox\": [\n",
      "                                    147,\n",
      "                                    152,\n",
      "                                    160,\n",
      "                                    153,\n",
      "                                    160,\n",
      "                                    165,\n",
      "                                    147,\n",
      "                                    164\n",
      "                                ],\n",
      "                                \"text\": \"won\",\n",
      "                                \"confidence\": 0.81\n",
      "                            },\n",
      "                            {\n",
      "                                \"boundingBox\": [\n",
      "                                    162,\n",
      "                                    153,\n",
      "                                    175,\n",
      "                                    153,\n",
      "                                    175,\n",
      "                                    165,\n",
      "                                    162,\n",
      "                                    165\n",
      "                                ],\n",
      "                                \"text\": \"the\",\n",
      "                                \"confidence\": 0.981\n",
      "                            },\n",
      "                            {\n",
      "                                \"boundingBox\": [\n",
      "                                    177,\n",
      "                                    153,\n",
      "                                    196,\n",
      "                                    153,\n",
      "                                    196,\n",
      "                                    165,\n",
      "                                    177,\n",
      "                                    165\n",
      "                                ],\n",
      "                                \"text\": \"first\",\n",
      "                                \"confidence\": 0.978\n",
      "                            },\n",
      "                            {\n",
      "                                \"boundingBox\": [\n",
      "                                    198,\n",
      "                                    153,\n",
      "                                    219,\n",
      "                                    153,\n",
      "                                    219,\n",
      "                                    165,\n",
      "                                    198,\n",
      "                                    165\n",
      "                                ],\n",
      "                                \"text\": \"prize.\",\n",
      "                                \"confidence\": 0.913\n",
      "                            }\n",
      "                        ]\n",
      "                    },\n",
      "                    {\n",
      "                        \"boundingBox\": [\n",
      "                            32,\n",
      "                            166,\n",
      "                            248,\n",
      "                            168,\n",
      "                            248,\n",
      "                            179,\n",
      "                            32,\n",
      "                            178\n",
      "                        ],\n",
      "                        \"text\": \"I know how I achieved my success. It came from the com-\",\n",
      "                        \"words\": [\n",
      "                            {\n",
      "                                \"boundingBox\": [\n",
      "                                    33,\n",
      "                                    167,\n",
      "                                    39,\n",
      "                                    167,\n",
      "                                    38,\n",
      "                                    178,\n",
      "                                    32,\n",
      "                                    178\n",
      "                                ],\n",
      "                                \"text\": \"I\",\n",
      "                                \"confidence\": 0.979\n",
      "                            },\n",
      "                            {\n",
      "                                \"boundingBox\": [\n",
      "                                    41,\n",
      "                                    167,\n",
      "                                    59,\n",
      "                                    167,\n",
      "                                    58,\n",
      "                                    178,\n",
      "                                    40,\n",
      "                                    178\n",
      "                                ],\n",
      "                                \"text\": \"know\",\n",
      "                                \"confidence\": 0.981\n",
      "                            },\n",
      "                            {\n",
      "                                \"boundingBox\": [\n",
      "                                    61,\n",
      "                                    167,\n",
      "                                    74,\n",
      "                                    167,\n",
      "                                    74,\n",
      "                                    179,\n",
      "                                    61,\n",
      "                                    178\n",
      "                                ],\n",
      "                                \"text\": \"how\",\n",
      "                                \"confidence\": 0.98\n",
      "                            },\n",
      "                            {\n",
      "                                \"boundingBox\": [\n",
      "                                    77,\n",
      "                                    167,\n",
      "                                    82,\n",
      "                                    167,\n",
      "                                    82,\n",
      "                                    179,\n",
      "                                    76,\n",
      "                                    179\n",
      "                                ],\n",
      "                                \"text\": \"I\",\n",
      "                                \"confidence\": 0.959\n",
      "                            },\n",
      "                            {\n",
      "                                \"boundingBox\": [\n",
      "                                    85,\n",
      "                                    167,\n",
      "                                    117,\n",
      "                                    168,\n",
      "                                    117,\n",
      "                                    179,\n",
      "                                    84,\n",
      "                                    179\n",
      "                                ],\n",
      "                                \"text\": \"achieved\",\n",
      "                                \"confidence\": 0.935\n",
      "                            },\n",
      "                            {\n",
      "                                \"boundingBox\": [\n",
      "                                    119,\n",
      "                                    168,\n",
      "                                    128,\n",
      "                                    168,\n",
      "                                    128,\n",
      "                                    179,\n",
      "                                    119,\n",
      "                                    179\n",
      "                                ],\n",
      "                                \"text\": \"my\",\n",
      "                                \"confidence\": 0.986\n",
      "                            },\n",
      "                            {\n",
      "                                \"boundingBox\": [\n",
      "                                    131,\n",
      "                                    168,\n",
      "                                    160,\n",
      "                                    168,\n",
      "                                    160,\n",
      "                                    180,\n",
      "                                    130,\n",
      "                                    179\n",
      "                                ],\n",
      "                                \"text\": \"success.\",\n",
      "                                \"confidence\": 0.652\n",
      "                            },\n",
      "                            {\n",
      "                                \"boundingBox\": [\n",
      "                                    162,\n",
      "                                    168,\n",
      "                                    172,\n",
      "                                    168,\n",
      "                                    171,\n",
      "                                    180,\n",
      "                                    162,\n",
      "                                    180\n",
      "                                ],\n",
      "                                \"text\": \"It\",\n",
      "                                \"confidence\": 0.974\n",
      "                            },\n",
      "                            {\n",
      "                                \"boundingBox\": [\n",
      "                                    174,\n",
      "                                    168,\n",
      "                                    192,\n",
      "                                    168,\n",
      "                                    192,\n",
      "                                    180,\n",
      "                                    174,\n",
      "                                    180\n",
      "                                ],\n",
      "                                \"text\": \"came\",\n",
      "                                \"confidence\": 0.559\n",
      "                            },\n",
      "                            {\n",
      "                                \"boundingBox\": [\n",
      "                                    194,\n",
      "                                    168,\n",
      "                                    213,\n",
      "                                    168,\n",
      "                                    212,\n",
      "                                    179,\n",
      "                                    194,\n",
      "                                    180\n",
      "                                ],\n",
      "                                \"text\": \"from\",\n",
      "                                \"confidence\": 0.957\n",
      "                            },\n",
      "                            {\n",
      "                                \"boundingBox\": [\n",
      "                                    215,\n",
      "                                    168,\n",
      "                                    228,\n",
      "                                    168,\n",
      "                                    228,\n",
      "                                    179,\n",
      "                                    215,\n",
      "                                    179\n",
      "                                ],\n",
      "                                \"text\": \"the\",\n",
      "                                \"confidence\": 0.981\n",
      "                            },\n",
      "                            {\n",
      "                                \"boundingBox\": [\n",
      "                                    230,\n",
      "                                    168,\n",
      "                                    249,\n",
      "                                    168,\n",
      "                                    248,\n",
      "                                    179,\n",
      "                                    230,\n",
      "                                    179\n",
      "                                ],\n",
      "                                \"text\": \"com-\",\n",
      "                                \"confidence\": 0.652\n",
      "                            }\n",
      "                        ]\n",
      "                    },\n",
      "                    {\n",
      "                        \"boundingBox\": [\n",
      "                            17,\n",
      "                            182,\n",
      "                            175,\n",
      "                            183,\n",
      "                            175,\n",
      "                            194,\n",
      "                            17,\n",
      "                            193\n",
      "                        ],\n",
      "                        \"text\": \"bination of good planning and better deing.\",\n",
      "                        \"words\": [\n",
      "                            {\n",
      "                                \"boundingBox\": [\n",
      "                                    18,\n",
      "                                    182,\n",
      "                                    47,\n",
      "                                    182,\n",
      "                                    47,\n",
      "                                    194,\n",
      "                                    18,\n",
      "                                    193\n",
      "                                ],\n",
      "                                \"text\": \"bination\",\n",
      "                                \"confidence\": 0.738\n",
      "                            },\n",
      "                            {\n",
      "                                \"boundingBox\": [\n",
      "                                    50,\n",
      "                                    182,\n",
      "                                    59,\n",
      "                                    182,\n",
      "                                    59,\n",
      "                                    194,\n",
      "                                    50,\n",
      "                                    194\n",
      "                                ],\n",
      "                                \"text\": \"of\",\n",
      "                                \"confidence\": 0.983\n",
      "                            },\n",
      "                            {\n",
      "                                \"boundingBox\": [\n",
      "                                    61,\n",
      "                                    182,\n",
      "                                    77,\n",
      "                                    182,\n",
      "                                    77,\n",
      "                                    194,\n",
      "                                    61,\n",
      "                                    194\n",
      "                                ],\n",
      "                                \"text\": \"good\",\n",
      "                                \"confidence\": 0.933\n",
      "                            },\n",
      "                            {\n",
      "                                \"boundingBox\": [\n",
      "                                    79,\n",
      "                                    182,\n",
      "                                    109,\n",
      "                                    182,\n",
      "                                    109,\n",
      "                                    195,\n",
      "                                    79,\n",
      "                                    194\n",
      "                                ],\n",
      "                                \"text\": \"planning\",\n",
      "                                \"confidence\": 0.83\n",
      "                            },\n",
      "                            {\n",
      "                                \"boundingBox\": [\n",
      "                                    111,\n",
      "                                    182,\n",
      "                                    125,\n",
      "                                    183,\n",
      "                                    125,\n",
      "                                    195,\n",
      "                                    111,\n",
      "                                    195\n",
      "                                ],\n",
      "                                \"text\": \"and\",\n",
      "                                \"confidence\": 0.959\n",
      "                            },\n",
      "                            {\n",
      "                                \"boundingBox\": [\n",
      "                                    127,\n",
      "                                    183,\n",
      "                                    152,\n",
      "                                    183,\n",
      "                                    151,\n",
      "                                    195,\n",
      "                                    127,\n",
      "                                    195\n",
      "                                ],\n",
      "                                \"text\": \"better\",\n",
      "                                \"confidence\": 0.978\n",
      "                            },\n",
      "                            {\n",
      "                                \"boundingBox\": [\n",
      "                                    154,\n",
      "                                    183,\n",
      "                                    175,\n",
      "                                    183,\n",
      "                                    175,\n",
      "                                    195,\n",
      "                                    153,\n",
      "                                    195\n",
      "                                ],\n",
      "                                \"text\": \"deing.\",\n",
      "                                \"confidence\": 0.707\n",
      "                            }\n",
      "                        ]\n",
      "                    }\n",
      "                ]\n",
      "            }\n",
      "        ]\n",
      "    }\n",
      "}\n"
     ]
    },
    {
     "data": {
      "image/png": "iVBORw0KGgoAAAANSUhEUgAAArYAAAD8CAYAAACCX+fPAAAABHNCSVQICAgIfAhkiAAAAAlwSFlzAAALEgAACxIB0t1+/AAAADh0RVh0U29mdHdhcmUAbWF0cGxvdGxpYiB2ZXJzaW9uMy4yLjIsIGh0dHA6Ly9tYXRwbG90bGliLm9yZy+WH4yJAAAgAElEQVR4nOydd5wV1fn/32dmbt3ed2EXlt6rigUMgliiJLELGmsSa4LRFP1FY4mmKPrNVzB+Y9SImqISkoCFIiJSRBbpRaosZdmF3WULu3vrzPn9cebevSy7y4Jg0Mzb1/XenTl1CvOZ5zznOUJKiYODg4ODg4ODg8NXHe0/3QAHBwcHBwcHBweHE4EjbB0cHBwcHBwcHL4WOMLWwcHBwcHBwcHha4EjbB0cHBwcHBwcHL4WOMLWwcHBwcHBwcHha4EjbB0cHBwcHBwcHL4WnDRhK4S4WAixRQixXQjxwMmqx8HBwcHBwcHBwQFAnIw4tkIIHdgKXADsBVYAE6WUm054ZQ4ODg4ODg4ODg6cPIvtCGC7lPJzKWUYeAP4zkmqy8HBwcHBwcHBwQHjJJXbGdiT8Pde4My2EmdkZspuxV0RFkihtgkJoUAQzW2guwyCjU0k+ZOIYiEFaAiEhER7s7DzJhqhY9sSkbL1tF+M1goSbbbriJQJaRLbfCzta6uvx4sQzflbK7uNXLR+LA5vjyqvZaHtNVaQOLrQ8fZ8UVRFR9Z9LG1vu9yTw2F3RSvbD6+7tfOc+Ldl59DQiEYjIASGbhBpCuDyerA0lUmT6v61hJ1eClauWlklpcw5sf1zcHBwcHBonZMlbFt7ah/25BdC3AbcBlDQuRNLFn2EETKJGAJhSdxRjR0bPyOlSx6e7DTWLv6EUWeeRYMhCXt1/FGBEZVEtcPKPEyASCkRQhyxT0qJph1urE7Ml7ivpauGaKGoEss8Gi3zttwnpYyXI4Q4bFt75Sf2MfY7sZzjbVN77UnM17Kulsf2aGW3zNvWMbcsq822H+34tNfPluW2V05iXe3V39Hj3toxaO/YtlVWy+un5b6WtEwXjUYRQsTPXeJ5jhg6mgV+XFRV7sdy6+SmZbP303UU9utFKNmFBLymwNQFjYaFLiHZcqG59V3tHggHBwcHB4cTyMkStnuBooS/C4F9iQmklH8C/gQwYMigNlWJEBAJh2lobKThUANNHkEoqhEJmbgssPTWRVRrD/jWxGtLIdxWGa0JvNbStRTQid9HE3ztCcn28sRESWsC5miCqD0sy2qzPS0FUGKZmqa1WbZhGGiahmmaRKPRuHiK5WlLnMXqaq3/ALqut1nn0Y5fe8I21rbYJ5besqx2X4CO9qKj63qraYQQh7WnpbA92jm2LKvNa0HX9Xiali9MXq8XXdePuC+EEATCEiIWHt1LMBBECHdzeYar3X46ODg4ODh8mZwsYbsC6CWE6AaUAROA646nIMMw0NxufF4vviQ/0gXCBW4hcVkgDe0IQdiSlhawtiyOLWnLGns0QdiW6D0ZwhbANM3D8rRWXmt0pB8xkdVSxMVEXmvlt9fPmHiyLAvDMOLnouULQ0ctmYkvDUezPh/Pvli9icI5Jmw7ajFujdZerBIFfFuit632xYi1q2X5Usq4sE0sP/Y7dp5bbhdCYBkauhBYgEQ2D8cIYfsunPgJqA4ODg4ODsfDSRG2UsqoEOKHwFxAB/4spdx4PGVFIhFcloXhcuH1+ogaFlHNxCM03CaEsVoVhIkP+44M7bYmMDrKFxE4Lcs4HmHbnitCR/O2RVsW2pjFMbGe9qyKieW1tS0myNoSde1Zyr8I7QnxjroptPby01657YnXo12vbbkbxARqa8K2tTJac89pzeUkpAtExMKFC7fbjdQ0kBIzGoFIBDwn6/3YwcHBwcHh2DhpTyQp5XvAe1+0HGH/pwkBugbSJBo1MS2JaYEprcMe3i2HtFuKIbtt7frYtmehbWnxba381spoz6LcWrrWfB2Plqc1UXSsIj1GS4GcaNFrSzTHLXzH6LOamN80zWO2kB8tXXsvB22dv9bKaK2e1l4+YttilvRjrbe1Y9zypaVlfS33JZ6D9nyDY8TcE1q77iyhoUlA2K4SKgGWaYFlchL/GXFwcHBwcDgmTv0nkgDLMomaUTAt0O0HOSCEhq4dLhBiQ91CiLjvKRzp+9ry4d5SaCSKhZZlxERDa76MiUIn8QPtWwZbEzptWZ3bKyNRxHQ0z/HQlrg6mlBsy+WgI+1o2adjcbs4mvW0o3Um1tWRSXLt0do111qa1ra1PA5tWbNbWo7bE/htjXRIlAuCJPF+iLkhODg4ODg4nDqcEsJWl+ASOoeMKGG3wB8GnylwB008UqPBihIyBGFN+TZ6DB0RtRAagKSpqZHp099i+PDhLFiwgG9/+zt4vV66dOlCQ0MDlmVRXl5OcXExe/bsYenSJSQnp5CamkJxcTFdunTBMAyiponH46G2pob3589n7JgxzJw1i4kTJwCCbdu2kZycRCAQICUllYKCfBYtWkS34m4ITZCbk8vGTRvJysqiqrKK4uJicnNziZoWuqEj2zFktjfk3JqATkzTmgtA8+8vKj6OFO7Nvznit5TqhaM9pEwss+3yj2hJu1rq+PvZsReA5t+qj4l1ilbb1THd11rEguZ9h5chEKJ9f/DmulsbUdAOqy+x7GZL7ZHtUmVJkJYaPxECNIFuGOByHV5W/JrVwHJ8bx0cHBwcvlxO2pK6x4RUj1FTSEyhLERCgrCkckEAMHT19JQx9wSIRiK4DIPq6iqqq6v5+OOPyc7O5rXXXsWyTGpra9A0QU3NQUKhIKFQkIqKcrZs2cKePbtZv349NTU1JPmTANB1jVAoSE1tDZs2baRkRQn791dQVVXF5s2f8cEH89m8eTO1tbUkJyeh6zorV65k8ZLF/OMf/8BwGQghqK2tZdkny5gzdw77yvcRjUZOmnGrNUtbK6mO+9Nc9pHbDq/7WD4cc/lHq6e9PMfevo71P9aPL1Jn6+lp8d2ctj2O3YWj/X4etr+50BblHvkCJeKC3BG2Dg4ODg5fLqeGsG0HgRpKNWwXg5grgMQO8aQJMjIyOOuss0hLS2PPnj3k5ORgGAaZmZkIIejevTvDhw/HMAyGDh1KJBJh/PjxABw4cADTMgkEAhiGEZ/97na7Wb9+PUOHDsXj8fDMM8/YAnczK1eupLGxkbq6Oj799FN69+5N//79KSkpob6+Pr6vqKiITp06kZGeQSAQOGGTnRwcvnSEQAjtMFEvpUW7wxAODg4ODg5fMqe8sAUQCXFEISHkkBCEQiFqa2vZu3cv77zzDl6vlz59+lBSUoKu6RiGQTgcJhwOY5omGekZmKaJpmnU1tYqQasbara37TdpmiYHDhzgxhtvZOfOnbzxxhukp6djWRaBQACv14vb7ea5555j8ODBLF26lC1btjDynJFUV1ezdetWhg8fTnl5Odu2baP+UP1x+7I6OJwSSOVlm/i3ZZrK793BwcHBweEU4SshbMGesNNim65pGIZBt27dyM/PJykpid69e7NmzRoyMzM51HCI6upqKisrWbJkCWVlZViWRUpKCocOHWLQoEEMGzYMIVSc0kgkgq7rJCUlUVxcjJSSffv2ceWVV2JZFt27d6egoCA+eah3797U19czdOhQysrK+GjRR5SVlcVnxDc2NmJZFi6XC6/X64hbh68msXtP2vehZYFlIS3pWGwdHBwcHE4pxKkwPD540CC56pNPqDGDhN0aySFIa9IpXb2O9H5dOZTmYtPa9Yw5ayRNkRBRQ+CKSAwpsQxBdXU1fr8fXdepr69H13VSU1PjLgWRSIRQKITX60XTNCoqKsjOziYajZKamkpjY6NydzAMLMtC13X27NlD586daWxsREpJIBAgNTWVpqamuPiNRCJUVVXRpagL5RXl+Hw+3G43lmWxYcMGvF4vBQUFZGZmqo7K9hcRaI/jF8WJfpunPl818X8y2tteaDFoW0ge3cdWO8r+1gkbAhE18eOmqvIA0q2Rm5LJrk/X0XVAX0IpLhACTxRMDZpcYAiBPyzQvK6VUsrTO1SRg4ODg4PDF+SUiIpwOPYM7DjKp9Y0TaRl2TFtNQRm3NKan59PNBolFArRqVMnmpqa8Lg9BENBgsEgbreb1JRUgqEgAHl5efElUSORyGHLpUajUaLRKHl5eRiGQXJyMqFQKC6UXS4XmqYRjUZxuVwUFRXRFGiioKAgXmY0GmXkyJFEo1EAQqEQhmHwVRKYDg4xmu85Yc/fFKBpaiUzezUzBwcHBweHU4FTQ9gKiEoLAw0pQUOolY2QmLogigVSokmBbkpMQ2JqIKMWIgIQJRKN4vclEQ5H0HWDYCiE2+1BIIhEI0QjJpr9ELZMC6FpWFaUSCSKrutEIxEADMOFpitxGg5FMM0oPq+fxqZGXIaBpumYUQtN05GWxIxaJCUlEwgE8Lg9hIJhNF0jGAwhLbVCl2VWsX3nfUgJuu6yIyJpCKElhMfS7G8BaOi6EU8HAuw0mqYj0EAILFP5H8fSW6aKQ6VpOlIKhNDt+eyxuhL3aQihA8L+W2AYbiKRKFIKXC73YW2LpUnc1xw+SiT0LfbbADQsS6Jphu2/rNt5mvNpmoEQKl3s2Aih+qnCBas6dd3ANC3cbi+macXLiqVT+VRfDcNNKBTG4/ESjZp2HlW/EJr9Wwkz0zTta8FCSsveZsVfYmIvPkIIwuEQuq4mGFqWhbSt+4mrfUWjURWSzuOJxzuOubnEymxqasLtdp/UW+rEI+xQXgKhqd9fNI6vg4ODg4PDieaUELYSJWxdCITU0KVUwlaAqWtEpYWGwEDHNCVhS2IJgWbEhBu4XTrRqEksGJiha0roIdGEfpghWAgdJLhdHlW/pUQZqGe3GbWUeERtj0SizWljYk82D+VGwlEM3YVpWrags+tRK49iWQHq6uac9OPocKwc/jIRE/Ex4a3Or94cl1do9nURexE5PF/zi4oe35co4oXQ0TSd3NxJZGdfccJ7czTXguPdbyHRkKg3DXvipmXZ95TFV8hV38HBwcHha84pIWxjSBn/H8BJi/36n8LlyiM//zd4PG5qa2uQ0iIpyYdytzARAlwuHbCIRMKAZO/eas477wmuuPIMfvvbK9F1DSktpDQxzQhul4tQOIRhaHYZ6tiZZgQpTTQBuq6iR0SjETwel11fFE0TWJZyl5DSREoLw9AIhUKqbLdhWyNVelW3Gd+mtpuYZtTuocXtt69g5coaSkrOQ9cFUlpYlommSdv6qc6rlBagrKSxmKexNqj9JsqfVGKaUSzLxDBifVf1x37H/E4T86jtMl5H87ek2U81tg07/0k68S3Izq76cio6Cq+//jq33XYbf/rTn7jhhhvaTyya493K+GocfHkH7SuGEGIhMFoevhqJg4ODg8NJ5pQStgmBvL6WaFoSnTpdi9+f3GK7IDU1jYEDB3LLzTdx0UXfJKcgk6hpEgrtAZ7A4+5Jfv6d+Hw+du/aTVKSn/T0dILBYHziWyQaQVoSt9ut/B+F4FB9PVlZWaxbt45nn32Wp59+nGg0SlJSEkIINRQfj0sqqays5N13/8X+/fu59tpr6dWrFy6XK56mtraWlJQUmpqa8Pl8hEIhSkpKyMrKYsiQIfh8FwBLGDJoDg2Njfi8XgKBAO+99x6fLF/OmSNGMG7cOFJTU/F4vUTC4fjkvlA4RHZODoFAIO4qEIlEeOyxx9A0jYyMDCZOnEhhYSGWZcXdBBoaGtQiG1Li8/lACBobG/D5/IRCQT5Z9gkXffNizjnnHBZ8sABpWfzhD89huHTuvOtOGhoPIWxhbRg6lmWi6xqNjYeYOevfrFu7hsGDBzNh4rVYZhSExDIjSCkJBptwu10YhsYbb7zNzJlz2bBhKwcP1gKQm5vJgAG9GDPmdM49dyvB4Dt8ZX2txeFWXWmPrAD43Z4jktvuFoOEEK8Cv5NSfvaFmyDENOAmoJuUsvQY8p0HfNhicwCoA7YBy4G/SSlXf9E2nqokHIOPpJTnneCyHwUeabFZAoeAjcBfgReklFG+AAn1jJFSLmxl/zSO4/pwcHD4+nCKCVtUaKG4y4D4qkqAVhFCsH3btvjf115zNfv27SMjI4NwJML7789nyZIl3HPPJH7z6ycwdJ1IOAyAYRi4DBdNjU1s3bqVbt26kZqaSlJSEpqmUV9fj9vtxuP3EAgECAaDuFwuXC4XwWAQj8dDnz59yMjIiE+Sa2xsxOPxIG1BWFlZyVNPPcUDDzxAdXU1DQ0N+Hw+LMuioaGB1NRUMjMzkVLicrlISkqipqaG0tJS8vPziUQiPP/880hTiU5h93n37t3s3buXq6+6itWrV1NXV0d2djb7ysrIzMwkKTmZDRs2cODAAS4Zf2m8v1JKNm3ahJSSn//85yxYsIDXXnuNRx55hEAggMvlYt++fWzfvp0zTj+d9DQl9C17kqEZjapJT5qIl9nY0EBSUhIgGDhgMAKDJH8aQgjbz1bS1NSE35/CkiWrqTwQ4sEHJ/PUU08RDiXh9XpV5AyXwOv1MmPGK/Tp04e7776bTZs24ff7ueCCC+jcuTN+v5+ysjKWLFnC7NmLyMjw8s9/cpiV+KtGYti95pXKmnnowYeI6Mo5oammnmenTokANwJXCiFGSSnXfLktPoJdwDT7txvIAYYDPwV+KoT4G3C7lLLhC9ZzI+D/gmV8FfkIWGj/NoAi4NvAc8A5wPX/mWY5ODj8t3BqCNuYxZCv/yKcm9ZviP/Ozcpi/De/iRCC0aNHM+3VV3n4sV8xZcpUrr/2WmpqasjOyQGgtqaGzZs+o3fv3pw2bDhCCPbu3kN1dTUut4vhw09jx/btlJeXM3jwYJL9SYRCIdwuF263m9LSUpKTk6msrGTRokX06NGDXr16xScAHThwgClTpnDnnXdSUVHBjh076Nu3L/v372fDhg0MGTIE0zSZP38+AwYMoKioiE8++YRt27bhdrvp168ftbW1dO/enXAgiAboQiA0jc82bmR3aSlLFy9m3IUXkpWZSW1NDZ06daK6spKFCxYwY8YMevfpzTmjRpKUlIRpmvj9fnbv3s3w4cNJTU1l9OjRVFRUUFNTw44dO+jZsyd5eXkUFRVRW32QQ3V1VFRUkJ+fT3JqKuVlZRiGQaCxCQBpWaQkJWEYBgerqhjYvz+hQIBVq1fTr18/dF0t6OH1eDEjUVavXEVaSirXTZjIuHHjSE9Lp7GhgUAggM/nY+2aNcybN4+HHnqIqqoqxowZQ6dOnXj++edxuVyUl5eTmpqKz+djxowZPPHEPUDwKxfSDGzrrD1hTtqT4oQQoB/uX/vwL395WLivZ6dO2QwsA34I/Bi4+UtuektKpZSPttwohBgKvAZcB2QC3/wilUgpd3+R/F9hFrY8vkKIriir7XVCiAcdS6qDg8PJ5NQQtgmo4U37DyG+sqO2rSNYt25d/K8JEyfS2NhIbU0NH374IXW1tSQl+WloaOSyK67gzDPOoHefPgCUlKzgN7/5DT/+8Y9ZtGgR/fr149777qWquppIJIJlWXg9XvLycnn44Ue46MILSUlJoTHQhMfr5V//+hcvvvgiH330ETk5OUyePJktW7YQiUQ47bTTmDBhApmZmQwYMIDZs2dTUlLCM888w5o1axg3bhxnn302r7zyCuXl5RiGwahRo8jOzgbgggsuwLIs0tPTueCCC1i6dClmOKJWfAsEmDlrFm/+YzpXXn45u3ft4txvfIOy8n1EIhGKCgv50d132y4VKg5xamoqkUiETZs2MXnyZHbt2sUdd9xBXl4eZ5xxBnv37uX3v/893/rWt7jvvvsIh8Ns37KFObPnUFtbyzPPPENtbS0vv/wyKSkpfPPSS+PHPBKJcPDgQfx+Px6Ph+u/+11Wr11DzcEaTMskOzubQQMH8v3vf5+SkhLS09O5/fbbWbx4MVs2b+bNN99k3759jB8/ni1bt7Bq1Sqqqqq4+OKLyc/Pp7CwkN27d7N8+XJmz57NVVddxc6dO9m5cye/+91gYBGhUOiwq2LGjBm88MILrF+/nnA4TPfu3bnmmmv40Y9+hNfrPeIqWrVqNZMnT+bjjz+mrq6evLw8Lr74Ih544AEKCvKPSL9jxw4efvgRPvxwIeFwmEGDBnH//fcf++VrL0xi2UMqmqaB1qFwX/NQwjYncWN7w8pCiGJgJ/CqlPJme1vie+/OhBeEXVLK4mPpSkuklGuEEOOADcDFQojLpJT/btGm84GfASNQ1tjdwD+B30op61qkXUgLH9sEV4DHgH8DvwZGoizHK4D/J6X8uGXbhBAFwG+AS4EUYAvwe5T1+UPgsdbEekcRQriBO1AvHd0AD3AAWAtMlVLOP96yAaSUu4QQW1CW8RygtEX9hcADwCVAZ6ABWAo8LqVckZCuFOhq//lhC7cY0dHrQwiRiTqPlwHFQBj4FHhSSjmvRdtuBl4BbgEq7HYOA1Id/2kHh1OTU0bYioRwQrEtMY5cc6xlilOIxC7YxP6UlklTU1N8e/8BA/jg/ffZtGkTeXl5XHXVVbz6l7/S0NDI6NGjufw732H58hIAiouLGTduHDt37qR79278e+a/2bN3L+ePHUtVZRVp6WlUVlWxceNG7vvJfSz/5BM8Hg9ulwukJGy7NGzbtpVZs2Zx5plnctNNN7F7927efvttli9fzrRp0xACxo4dS3JyMh999BEAwWCQ3/72t/To0YNbbr6Z2XPm8MEHH9C1a1fuuOMOOnfujNvloqkpELdGHqqvx+v1UlZWFo/nW7F/PzPffpuuXbpw3cSJrFq5ipWrV3H/L37BLTfcyH333UfUsoiEw9TX1XHppZeyd+9eRowYwZlnnsn78+Yxa9YsioqKAIhGIpSVlZGfl8fq1Wu4+OKLMQyD1atXs2vXLu655x5WrFiBrsV8iMHr97Nz5040TeP2u+9i1jtv0717d2688UZcLhcVFRWUrCjh5ZdfZszo8/jRpEkcrKlh9apVfDB/PuvWraNXr15kZmXRf8AAysrKAHjm6aeZOXMm47/1Lerr6nl/3jwyMzIIBgKEgkHuv/9+opHJlFcswufzx31TH3n0UZ5++mmys7K45uqrSUpOZt68eTz66KN8MH8+b7/9Di6Xy45AIHlv9myuu+56pJRcftlldOnShdVrVvPiiy/xzjvvsmDBfLp2jT37Yfv27YwZM5bq6oNcdOGFDB48hB2f7+Caa67hogsvanHttnGf2cuOSTusW0w+WDFPhMSVdmNe8oc/88fZ35+2WkHHeQwlRoYAzwK19vbaNnMcA1LKA0KIF4CHUEPmcWErhLgd+D+gEZiOEn7nAfcD3xJCjJRSdrQdpwM/R1myXwK6AFcCHwghhkoptyTUmwt8jBJgi+zf+cDzqBeGE8E0YCJK1L+G8j3uBIwCLga+kLAVQhQBfVD+tlta7BuO6kcmMBf1opCNOs9LhBCXSynfs5P/r719NPAqLQQyHbg+bOvxQtTxXAzMAZKA8cAcIcTtUsoXW+nGVahjMRv4o53fwcHhFOTUELZSolkSKx5iSaqwmZrA0jQiZghpx84UgCbBtCx0TQfr+JwX2hsOPtpqbG3ljS21q8fi5dpDtoY93B+ORPB4mifZBJqaiEajeDweXC4Xv3jwQaqqqwH4+U9/SklJSdy6l5WVgcel03ioju7du5OVnsb8ObMxDIO3336brKwsUlJSWF5Swut/+ztPPvkkk5/8HS7NYO+uUipsAbZ27TomXHM1EydM4KKLLiIYCPCXv/+dH/5oEi/88f8YOngQ27duZdmyZeTl5ALw6YoV/OL+B0hLTcXr9TJ4wECefW4qOz7/nPfeeYfLv/0dKg9UIhImE0UiEfzJycycOTO+8trSjz/mxuu/y6iRI+nevTtV+w9w+eWX8eAvf8mqtWvQDINIfT2apvHwLx9m7969nDd6NJOffIp/TJ/OL3/xIKFwiB/ccQcAXo8XoiaYFkWFhVx59dU8+/vfk5WVRWFhobJIR6Mkp6bFz09sVbjc3FymT59On959GDdmDD+86y669ehBKBDA5Xbz+K9+xYD+/fl8+3beeOMNzj33XFZ++inDhgyhZ8+edC8uZurUqUQiETp36kSnvHwOlFdQXFjEokWLKMjNUy4hPj+FBZ1IT0ml4oAS+EKCsCTLly/n6aefprCwkEUfLiQ/Lw+Axx95lGuvm8jsOXN49ve/5+c/+xlIaGxs5PbbbicajTJv9nuMGjkyfi0+/cz/8ODDD/PDu3/Ee2/Pil9j9917H9XVB3lm8lPcddcP4+nffvttrr72GtUemsVqq9d71ELoOpZHQ9cEPgwwJYeiIfKsCK5Is9X2V088bpcpOHToEChBMxx4B3i67VqOjpTyUduSOwT435M0pL0QJWxHxDbYYmgKypI4Qkq5OWHf88CdwFPAbR2s41LgFinltIRybkcJpnuAuxLS/hYlop6SUt6fkP5/gZKOd6t1hBBpwARgJXCmVKFFEvdnHWOR59mWeFDPl84oH9sQ8AMpZX1C2QbwFpCMstp/lLCvE8qK/bIQolhKGZJS/q8QIh0lbKe1tPJ38Pp4FWX1nSilfCOhvnTUuZ8ihJglpdzfIt8lwCVSSiduo4PDKc4pH4BSPYeFEpumSSQSJRwOq1n0oZAa7m7jE4lE2vy0l+94P7FyY+2KtTEmTqWUnHXWWfG+/e6pybw7ew7rN27k2anP8eGixUgpueTiiykuLiYjI4Ohw4YCaoZ5jx49SE5OpnPnzpx99tn0798fKSVnn302GRkZLFq0iGFDh9Kvb1/mzJ2Loeu4XC7Wrl1LWpoSdz26d+f8MWPo3q0blmlimibXT5iAYRh8/vlOZkyfzubNm7n66msoKioE4NJLLuHqq67iwIEDHDp0iKuvvpozzzhDnR9NIzUlhdUrV1K6axcx+7Tb7abJnnzW0HAIgP79+vP4r35FMBjknXfeYcSIEXz/1u+h6zp1dXU0NTRgWhaBYJC3/jGdJH8SgwcMZPpbbzHizDO58sorOW34afTq2ROATp07kZmZiWEYnH766ZiRCMXFxYwYMYLPPvuM2bNnM3TIEELBQPxaCgaDbNm61Y5UpUxSnhIAACAASURBVJZKHjhwIF6vl5AdjaGpsZG0tDTWrFnDX//6V3r27s1ZZ59Neno6fr9fRaAIh4lE1aIenTt3Zv/+/QwYMACX201OTg65ubksWrKYf/xzBh9+tJCnJk/m//5vNdu3QyQSxjRNpr3+GgA/+8lPycnOxrTPB8ATv3ocTdN45dVpRKNRTNNk5qxZVB88yJWXX86ZI0Ycdh3ffdeddO3ShQ8WLGDHjs+JRCKUlpYy/4MFFHftyg++9z1M04yvrHfJJZdw7qhRAJimFa+7tc/hL3r2y6ftP93yJe/XT/yaXz/xa5544gmeffZZUKLlM+DvUspDx/vvwJdImf2d6DbxXZS7wHOJotbmQZQl8gYhxJGhIVpnaaKotfkzEOVwQe1GWVLrgCcSE0sp16Ksq1+U2BhTiFbWa5ZSVh9jeaNR7iWPoI7NzUAqSsC2FOKXAj1Q7g4fJe6QUu5DvSzkA+cfYxtaRQgxxG7fjERRa9dXa7fZi7Ket2SmI2odHL4anBoW23YQQkMTGrquga6jGzqGoXxvdc1oe/g0tkJSG7RrlZXtuT+07/erSd1edhS0mPHZUu8PHo+HcRdeEE87ZepUu4+CtLQ0zh01iuuum8h1EyYghODCiy9i1y41B8Xv9zNk2FAGDByI2+0mJy+XWbPe4bW/vM7GjZuora3FNE3e+McMQAnLQDCIhWTUuecSMU3emjGDb3zjXL5z2WX4/X4kEt0w8CclkZOTg+Fy8f3bfkBycjLSgpxcZbG9/PIr6NK1Kz+aNInU1FQsy2LSPT/mb2++SVFhIS63m569epGbl0c8BrGmEY1EuPqaa3B7Pfz9rbcYO3YMaenpXHPttUgp4yHHcnNzCdkvAh6Ph02bNhEIBDjrzLO497770DSNHDtNz169uPWWW/n5A/eTnJzCaWecgW4viaxpGpdfcQVpaWmkZ2Tw1ltv0at3bzZu2hQ/zqFgkOuvvx7DMLhg3Djenz+fKc//gX0VFZx++mmccfoZpKakcNnllxONRnF7POTnK7/VCRMnUllZSU5ODklJSfTt2zd2uZCVnc2l48djmiY9evQgJzeXid+9nuXLlx92fdx/P4w9DywpWbN2LQDnnntu3G81dm326NGDzp06UbprFwdra0lPS2P12jV2+lGY0oovToIAoWucc87Z7Nq9mzXr1tK5qDNr1ip/7rPOOgs0ER9BiDFq1CgWL1kSt2S3hUwQryoQghK2mqZWsEv0OgiG1UuchqCpqYn09PTPgP3AX4UQA6SUD7ZZ0alB3HMoYdtw+3tBy8RSyhohxGrgG0BflF/q0TjCJUNKGRFC7AcyEjb3AXzAp228FCwBvt+B+tpESlkvhHgb+BawRggxAzVEv1xK2dR+7laJ+/sKtXJJAco94BngMiHECCnlHjvt2fZ31wQrbyK97O9+wHut7D9WYvWltVFf7GWmXyv7vrB13MHB4cvhlBe2KryQZbvfCnRNwzBUjFZD04/qNtAWsVBUbdXZbt6j5FNLz0qEpqlv03ZFCO9hw6aR8fSffDKgRQkHkfI5Nm15ToWfMi3KK5RVsLZuNp9tOZfYc/f3vy/nzTcPkp1tMHSom4wMLx6PwOPx8N579VRUhNmx83yww1gdqFTPKE1/jx2lK46IRyplFaEQ7N4bmwwuqaquBKDu0C/5bMvvlIAqV33bV6EETE3dbHbsXAcC6hoEjU2fA7Bpy0jVdwTBcCMAgeCbbN62EGFb4JU/pgCqCATg813nK1eBz1Rbff6N7K/6NkII9u1XQk4icXtVeVXVL7NzVywurEQIQTQSpSnQRDRqMuobUH5gJqW7VfrGxlXs2DkWS1pomsaDD5l07ZrD3Hk7ePzXyiDmcQvGjE1l0qQCMjN1ZJPkYK1oXmlOwK490r6AVDt3717Djp1j1f6y2NGTKIOlOsd//ON+pk2ril1AuD2e2FA9Xbp0wZ3gohJboje/oIA9e/cSCATIzc2loUFFoCosKsKTMKksdi47d+6s+mlPGGwMqvYVdCrA4/ViJQwyCyHoVNAJUEv+ulwu2kTIuNxrXkRFvXQKTUO08RKYnJwM0ARcAewFfi6E+GOCsDkV6WR/VyZsS7O/y9vIE9ue3sE62vLFjQKJs/Fi9bYcFuco24+Va1G+wteh/FQBgkKIfwA/bWVYvkNIFdeuDPiDPQHuQZSbx+12kpibw9VHKSr5KPs7Sqy+C+zPsdRXcYLa4ODgcJI55YVtzBXB/gKafVkt+/v4yhVt5j2qsD1K2bH8UlUUf+xLGSEY3BRPFwhsPGo7YxPoTbOOQEBNvK6pgenToVs3eO65KH5/YszzBt5/X/1qSig/pOaOEY1WEgwmPrNjbVOfxDbZc74Ih0sJBNtqVy2BYPNzOmb4SywnHK+7ikDgyFW3YnmamlQoNMO+KqurD7V6jMrL2y/PMJrLCATKmttqNdEU2HBY2uu/qz4HDsDatTB3rmTOnDrKyuqYMuWIog+jazG4XLB/f4Rt2zdSWNh22mjCKRKaRtQySU1NBaCsfB/du3eP75eWBUJQUaGepUnJSUQtk+SUFAD2lZdjJlhY1b0h2GcfmOTkFEzLIsVOX1Gxn6hp2rO97DxCUG6Xr1Zwa8/J1t4nm+89le/IPDGRnRiBWkpZmzArfjgQE7axTrT271BHReKJZoz9nWhqj0U8yEeFrWpJQYt0J4qYP2peG/vb2n5MSCkDwKPAo/ZEr2+gXAi+i/LvPfcEVBM7niMStsWO13eklLM4+cTqu0dKeZS7+wi+7pEoHRy+NpzywlbTdHSh2ytpqfVYOxoG9HjjhbYneo+lzFiMWI+niL59lf+sWo1J+dkOHrycaDQaXxggNrEs5q9rGAZ+fzlwLampFzFgwCNIKVmxYj2WdQcXXngtQ4eqeSa6rqNpGuXllZSXXwGY9Ou3BCEEuq5TWbkMuJfc3O/Rt+/N8e1SqqVu3e5rkRKGDXuHQCBANGqSk/M68DKFhVPo3XsYQoDb7bFjzO4BriEt7RL69n0Qw9AxTQu//25gNV27ziczM4NIJEJl5XLgHrKybmHAgNsRAqJRteKZEAKX63KEgD59pgPQs6fE672A0lIXhYX/JD1dCcBgMITb7ebPf/4dMJPMzJvo2/e2+AplhmHg9Xqor6/H5/MTjUbRNI26ulXAXfj9Q+ndeypJSX6E0Dhw4ABZWVlEo1H69jUZPVowaRKcc861rF+/h/z8OeTkZBCJRHG5XEhpEQyGSEpKwrJMLEty1VWP8/e/v8u//30RU6Y8hMvlQtNUuAApLcJhFYotO/sVYBqFhQ+TkvItdF1nyJAhrFmzhqVLl9KrV2zUFaSmsWPHDsrKyiguLibLDqs2bNgwAJYuXcr3vnfrYdeaaZosW/YJAMOHD0fX9Xj6ZcuWxa+RxGt4yZLF8es0tq81TJrdHuJuC/Y1Ky0L9A7dE7Eh9kS//hr7u6iV9Ke32RxFh+KMHQt2BIKYNfGvCbtWo6zO5wEftMiTDgwFgihf4hPJZlSEgsFCiJRW3BFGneD6sK3pfxVC/N2uf5QQIus4fG1b0tr5/8T+PhfoqLA92vlvb39ifccqbB0cHL4inPKTxyzLwjItZaGyrPjKZB2x1MaEU2uf9miv7KPVG7NoJVq2NM2D3z+QpKRBeL39E9J2w+vtj9fbP74vEilC13tRUDASj6cfaWmDAXC5snC7+5KUNIjevc8DYOXK7aSmDiUz83SSkgYRCnXmJz+ZQjSq/m1PTh4cz5OU1NMuJxefbwDJyYPx+wficvUhO3sEQrgQwoVlFZOcPJisrDMwDOVy5vN1JyvrDPz+QQjRA79/ICkpAwEwjHRSU4ei673x+Qag60kA5Oefg2V1wzD6kJLSGwC3Ow+Ppx9udz/S04fbv/ui6x7ARWbmGaSmDiMlZTBXX30N9fUNTJnyNqmpwxCiJ7m5Z7Ftm8mbb84GwOvtRGbm6fj9A0lLG4bPN4BIpAv5+erYeb398fsH4nYX221NIT19ONCD6uo09u3z4nb3xe3uS0bGaSQlDULTetLYGMYwDDIyVL9ycs7EsorxegeQkXEaLlcffL6BeDz9ePzxZykoKGDGjLk8+eR0TLMrmtYLn28Abnc/MjJOIy/vbIJBr92GAny+fCzL4oYbbgDgySefZP/+/epatyyi0Si/+MUvsCyLm266KX4tjR8/nszMDN56azrLli2Lp7csi2efncLOnTsZM2YMhYWdMU2TTp06cf75YyktLeX555+PpzVNk3/PnMmixUrYSkseVta0V1/F7fVw6/e/1+x7K1pc+7awbcvHPREhxGWo+KgRVLiqGDG/xVvsGfKx9EXAw20UFxNYXY5a8TFgTyx6HxVq6r0WFsS/oNr+IyFEzxZZH0dNjvqLlDLECURKGQbeRLkkPNRKe2/8onUIIXKEEGe2sisJFTM3iorz+kXq8NAc6WFhwq6ZwA7gbiHEJW3kPVsIkbiC29HOf5v7pZSfovyHrxBC3Npyv13fIPsFx8HB4SvKKWOx1TQNGTWJz7q2LAxDR9c1zIip4rHaD1kpJYahY5nWcYft0myr7Kcr/1MjnrB+/dH//bRHi6mu/hurV/8tvn3sWFiwYCWDB6dx+unQ2AgrV4LbDT17wvbtsGJFajz91q3qu6zst6xe/dsj6okN169dmx3fFhvy37ZtPElJbberpKS5XbbbKMuXNz+LNm+Olfc7Vq363RF1B203h2XLmv1GL7sM5s2DqVOnsmjRVAYMgIMHYeFCGDECliyB8vLf8vHHR/alJVvsyJn19YspKVEd2b4dfvAD6NoVevWC3Fx1DD/5BPbvhyuugM8+O3Kxg9b43e/g4YdhypQpvPLKFIYNg4IC0DTlNrJhA+zdCxkZYFl3smLFnQDoOkyYAG+8sYvhw7vxjW+A1wslJbBzJwwaBCNHPkZJyWPxuu69Fx57DC66aByjR6t2b90Kn34KmZnw/e9/SElJSjz9zTfDihXws5/dzz/+cT89ekBZmTp+55wDH38MO3bezrLlt8fzCO1Fu306QtcQQi2aohs6SInb41Yh+jQ1QTPxLvvVY79SZUAsZnNPVGxSgF8k+mtKKZcLIRahhr5LhBALUMPr30LFNG3NkvsBKrj+i7YPaANQK6V8rkMnC4oTJg65UEL2NPsDylJ7e2IGKWWpEOLHwB+AVUKIt1A+uKNRE5I2o3xUTwYPAGNR/slnol4MCoBrUBOqLqOVaAbHQGfgEyHEZ8AqlJtIKiquaz4w5RijWSSG+xJ2W78JFAKfoxalAOIT5q5Anet3hRAfA2tQftlFwBlAd7uM2ES2D1H9/a0QYiC21V9KGYsacbTr4zrUJMCXhRCTUC4StXb7BgMDUef0wDH02cHB4RTilBG2HedwIftF3A1ik3GOh4oKmDgRLroIHnjguIs5bn72MyWePvwQ/v1vSE9XQuWWW+CRR45M/1xHH/tfInPmwJNPQmoq+HyH78vMhKlT4aWXYPly+OwzKCqCe+5RaZcs4QixfSzk5yvRt3YtrFkDdXWQkqLq+MEP1ItDR+nSBV58ET74ABYvhk2bYNky5R+ekQE9eigBO3bskf28/XYlrKdOhZkzlW9w587wve/BNdcoH95ERo1Saf/6VyVYGxvVsfr2t+GGGyA7+/D0hYXw/PPwpz+pF5+1a6F7d3j8cdXnj49Y5wrWrFHRF6677jplQZYWuq5z66238tprr7F1zXp6dO2OptnuQQnS9tdPNEelst0b/MDbqFBZ77dy+L4DTLa/fwRsQy1ecKG9/7CJPFLKuUKInwA/AO5FheHaBXT0Cu+KCusEyn2g1q7zaZR/7fVSyu+2zCSlfF4IsR34KSoclJ9mX+FqKeXBDtZ/TEgp9wshzkGtPHYJcCZqkYO7UItFXAbUJ66Q1UoosfYoRR2P81D9zwYO2nU8ALzRVsYWnGd/j7Y/MZqA7aj4sU+3XMRCSrnOtj7fhxLTt6CEaznKBeQRoCoh/WdCiJtQ5+EuVHgusMOhtXF9IIRokFJOk1LuFUKchlo1rh/qxUtHTQ7bBEwF1newzx1GCDENuAnodpLiL3+lEWpVOWQHVxAUapW5j6SU5528Vjl8VRHHO/nqRDJo8CD56dKPCUUjRF0a3gj4Gy12bt9G2qDu7I0conr7bs4bPIJIJEyTGzVD35RxP9ZjJRwK4ff7WW5bt1KSl3P6GYePyAkhyMjIYNDAgVx33USuvfYafH4/DQ0N7Nmzh6FDh/Pd669jytQpuN1udn7+OZlZWfh8vrjPosvlIhAIkJKSQiAQwDRNvF5vfEh47969+P1+0tPT436yLpcr7nsbCoWQUuL1ejGjUULhMCkpKYTD4Xgd4XAYj8dDOKzio3700UdkZWVx1plnIjSdcDjC+PHjWbRoEVVVVfh8vrhvrc/nIxKJEAwGSUpKQtd1wuEwGzZsID8/H5/Px8GDBykqKorHQU1NTaWpqSluEa+srGTp0qWMHDmSggI1j8bn9VJTW0tycjLBYJB9+/ZRUFCA2+1m3759fLRwIfWHDvGTn/yEl156iauuvBK/30/Anskf8zcOBoP4fD62bNlCWloahYWF/Pzn9/PMM//DjBnTGTt2rO0jahAOR0hOTqaxsZF58+aRkZHBeeedRygYRGgaNTU1BAIBioqKiEajGLquJnKFI9TV1ZGSksK8efPw+XycN2YMdbW18WWDm5qaMAwDw+XCNE1qa2qYv+ADLrzwQjIzMjHtkAMuw0UgGEDXdOoP1eP3+3G73CpClqaxf/9+srKycBkGQfvcejwebr31Vv72t7+xdu1aevbsiWEY/PnPf2b8+PHk5eXR1NiE2+Pm888/p7q6mv79+6vYuyHl86tpGoFAAL/fTzAYjPsXG4aBz+ejtrYWj8eDYRgEg0EMw8DlchEOh3G5XFiWFbey33vvUHRdZ8kS5aMdFSr43d0/uJ3XXnuNLWvW07NbT3bt2A4+D9379eaG797AS39+OR4mTwCa0HC5XCullG35y7bJf0IIiFaWwe1Anv/YA1YI8WvgF6gVsQo4PmF7otryKG0sj3yM5UzjBJ73tgT/sQqpE9COaZzk6/lEnYP/BI6wdTiRfAUttieGtPR0qiqbowOUlpbGf5977ijSUlM5dOgQWdnZzJw5i48WLWL9+g089NAvEEJg2KIyEAximiaGritBEYkgfD61KIM9uSYSDlN54AAp9spdTU1NhwnRaDSKlJKqqioyMzPjgtbn85GUlEQkEiHQ1IRuGCQnJVFVWYlhGOTl51NVWakmc/l8GIZBXW0t1VVV9OrVi2AwiKa70DSNZ599lkgkgmmaNDY24vF4CNo+AFJK0tLSqK2tRdd13G43Ho8Hy7L47LPP2Lp1KxdeeCEpKSm43W6CwSC6rmMYBocOHWLXrl3ouh4XyVgSaVpgSRrqD+H1+aivraMgL59oOMLe3XswdIMrr7iSwQMH0aNHD3xeHwerq9FdOn6/n1AoRFlZGYV2qIG6ujrcbjdr1qzhhRf+REZGBmPHjsXtdsfr1IVG5f4D6IbB+rXrmDhxIsGmQHyRgc+371BxaLOy1XlobMKyLDweD+Xl5dTV1VFdXU2//v0Jh0JkZ2fHXyxiE+2i9iS1Xbt2caiunkN19aSnpsXPT7BJLQaxrXQbO7ZvZ9SoURj24hihUBMF+QUEmpqI2GEqPB6P+m2/X2oIIqEw9bV1bN28hYzrv4sZiaJrGkLCzs93Eo6E4xO+UlJSCIVCaJqG1+slEongcrniolfXdaLRKD6fj2g0ihACn202Nk0Tt9sd7yNAQwOsW7eO6dOnq+vaMNA0HdMyeeKJJ/j+jTfTOb8AbH9crZ34t19BbkRZYk8phBCd7AULErcNAiahrKsfAR7U5Ki2QpL9t/IvnOPi4PBfxX+tsA00NcXibAKwd+/e+O/bfvB9qqur6dq1K4VFRaSnpfLKtNf4w/PPk5uThdfrpUuXrgB8vmMHr77yCpMmTaK6qoq83Fymv/UWBw/WMHToEPr168/cuXMJBJq46ZZbAOIiCZqtrYsXL2bfvn2cc8459O7dG5fLRUNDAx6Ph4rycubOmYPP52PgwEGUlJSQlpbGJZdewjtvv01lZSVXXXUVZWVlLFjwIcnJyWRmZKIJQSQcJjMri6KiItasWcOMGTPIyMigc+fO7Nq1i759+9K7d2+amprs2f4WwWCQpqYmdF3n448/pq6ujgMHDpCXl6fEXTSKruvs3r2b+fPnU1FRwemnn87mzZvZtm0b4y+5lKamJpZ9/DHDhw8nLy8Pl8vFwYMH+XTFCpYuXcrlV1xB6c6d7Ni+ndycHCrdbpYuWUJ6VjqDBg0iOTmZsWPH0b17N/r3709NTQ3BYJA5c+ZiWRb33Xdv3CrpcrkQUiMcCrNq1So2btiAx+0mJTmZd999l86dO+MyDN57913S09M57bTTaGpsZPny5Xi9Xkadey6Gy4XH48HtdpOXmxu3FBuGwZYtW8jPz2fP3r3k5uTE+15VWcmiRYu45JvfJBQK8f78+eTl5tK7d28+eP99du3eTfdu3UhLTY2L42BACd9ly5ZRUVHBkMGDqamtZd8+FQC3tq6Oz3fsYOPGjfTr1w+vz0dTY6OyFus6FRUV1NXXEQ6HGT9+PB9++CEHDhxg0KBB5OTkYFlW3OqelpaG36+iQ7jdbvbv3084HI5H5xBCoGkaO3futC23kJwM9fX18VGFWBQEgaBTQQGuqL1ktGliRk3E10jYSil3/6fb0Aaf2m4QG1DuB71Qq3ZpwB1SyiDKreJEhxv7yiOlrMM5Lg4O/1X81wrbxKgFQDxYPsD555/P66+/Tjgc5r133+Wqq67in/+aSW1tLYsWLWbwwIEcrFYudWbUZOvmLVRXVbNk0WKqK6v4n//5PXX1h6ivr4+7DnTKz2fcBRfQubAQj8dDKBRi//79vPHGmzz99DOcf/5YJk6cyI9/fB+rVq0kHI5w2mnD+elPf0rNwWpqD9ZQESxnd+kuVq1ZyzvvvccjDz3Ipk2bWLa8hF8+8hguw6BHj+5cN2ECyX4/Lt1A0wWBQIDRo0ezceNGnn/+eUpLS6mqqqKyspIbbriB//f//h+XXnopjz32GCUlJYRCIQoKCpg8eTKZmZkUFxdTWFiIZVkEAgHq6up49NFH+de//kUoFCIzM5O9e/dSXV3NrFmz+OCKKzhj+Gn07NmT9PR01q1dy5q1a+nRowfr161DE4LGxkZ+/cQTfLKihO/dfAvjL72UXbtKKew6ig0bNvLCC38iEGhi2bJPWLbsk/iQfVJSEpdd9m08HrcdKsxFJBLB4/Yy//332bdvH9u3bWPkyJH85Kc/YfbcuQSDQTLSM+japYh7Jk3inFEjCQQCPD9lKv/65z8p7taNDRs2UFxczNy5c3nq6cmUlpZiGAaDBw+mS1ERd9x+By+//DITJkyIL1NsmSYvvfgik59+ml27d2GaJkl+PzffdBN5Obl0LiggOSmJaCSC2+3GMAwWfPghP77vXkp3lqLpGsVduzKwX3/27FbumvNmz6aoqIh5c+cybdo0wqGQcpkQgvr6evbs2U04EmHhwoW89tprrFy5kvr6eiKRCDk5OXTr1o1JkyZhGAZDhw4lOTkZ0zSJRCI88sgjLFy4kAMHDmBZFunp6eTn59OtWzdycnK4/vrm+yMSicSFL/ZiGrfceiuvv/46m1eupVfXbkx96Y8899KfAHj9L6/z+l9ej+d/8aUXufmmm496HwohxqGGT4ejlnVdhPLtbC/PmagJQqOATNRCBe+hVr3a10r6TOAnKD/e7qgIB6XAbOBxKWWjnW4hrbgiCLW07f2o2K6FwD7UJLPH22mjAdyGsgL3R/1buwV4GXjeXrwgMf23gXvstJmo2f3bUFERXkD50k5ERSqoRU24ejo25Hy0IXe73MdQizHkofyDXwSeksfgj2b7p/4aGIkaZygBfnmUPH1R5/R8INdu/weo87UlIV1iO3YmzJ/YFRuituu/EeXTW0Szr/Ms4AkpZU1CGW0el2NBCLEPsKSUhS2270JFX3hYSvl4wvZLgHdR19YR0T2EELcDP0S9oNShokP8zBbhienGoM75KNR150JFkZgOPGm/0MTSlqL8xwE+bLEAT7uuNfb1fRvKh3sAatJgI2oy4TNSytmt5Cm1f3b4uhKqUXcDd6KWUq5GWdSPezVCIUQ2yv/8W6j7ZjvqvnillbSa3c/vofyrBcqv+s/AC4n35Ik+5wnp+qAmm/5NSnl9wvZuqMmVAN+QUi5O2PcU6t+786WUCxK2F6Luq0tQk0AbgKV2G1a01Yb/Bv5rhW0sjmuMjIzmlSxj/qsbN25k2LBhrFu3DpdLHarBQ4bQv08fVtsTbLKzs+nfvz+rV62ia9euvDt7Drt272Ho0CFIS5Kdnc3nO3eyafNmxp5/AQsWzFcWRJeLurrmf8fq6w9x5513cfbZZ3HDDTdQVlbGzJmzuPbaCUz60Q//P3vnHd9VkfX/9/nWNJJACAkQOgJKCb3XoIhKERuiawPbWlZX19VV17K4im1lXSuPvSGICggK0nsv0kJLoySk9/It987vj7nf5EtIaOLz7O959rxeIWHuzNy5U+49c+acz4c+PXuya9cu4uLiaNBAW5q/njWbtIwM2rdtS/NmzSgoLGD3nr28/e573H3XXfqo2OHE4/FQVKRjNtLT00lKSiIkJISfftLvqx07djB9+nT69OnDHXfcwcaNG9m0aRM333wzf/3rX+nbty8NGzZEKUVBQQGjRo0iIyODhIQEhg8fzo4dO/jiiy9o164dADnZObRr147BgwdTUlpKVlYWjWNiyM3JITExkbS0NLZv3Up8U4060Di2Me07dCAtPY09e/bw0EN/RES44ooraNu2DcnJyWRkHGH//v1MnHgDd9xxO4sXL8Zut1dbKIsLi9i1axd33X03ycnJfD17IgWYkQAAIABJREFUFouXLCEyMpLRl19Ok9gmLFi4kFf/8Q/Ky8oICQnF7XbTqpX+FiileOzxP/PLL7/QoUMH7rn7bsrLy5k3fz7r1q3j4MGD3HrLrezZs4eGDRvicDhIyUhn45bNhISEkDRiBA6Hgw0bNjD9zTfp1LETb7z2Gq1bt0ZE8Hq9zF/wA7fcdhsiwrgxYyksLCDjyBEWLl5EyxY1AAAjR45k1apVNGvWDK/Xi8vtRgFHMjIIDQ1l6LBhLF68mAMHDjBo0CDKy8spLy8nPz+fDRs2kJKSwpNPPkm/fv2w2WyYpsldd93FrFmzaNy4MYmJiYSGhlJZWUlycjKhoaF07969+v4B63JAudUgJUHfKAFsNvr37ovN5eTNd96mW7dujBs3rjqMLLFb4tmswevQilsA1ioL/RHfAOyqp8wd6A+nB63MHEUrCHcCY0Wkf7Dl1fpgrEB/9LcB76ItnR3QwUXvoT/i9bVRgNlopTgFHaTmAiYDXesp40QHzF2OVma/QltUR6CDk/oBtwTlvxutvJ6wyuWhFcBuaIWsDzWMYOcjTuBnNKvaT2gIr6uBaejgq7Oq2wpiW4p+/u/QSkR3NITXKXTDVpnRVt5AnxxGK2nXAFeJyAil1HYr+/NWuxKBf1LD0BYccHYXMAHtfrEUHfjVEx18doWI9DtHFIezkeXAzSLSSSm133qu9tRAio3k5E1OIPT0JMxjS15Bz4sf0GMyAv1M7YPKBeRxNE3zerTSFILeUDyHRp+4VCkVwO2dju67YehAvfRzeL5G6P5ej4a8y0X7bI8FfhSRu5RSH9RR7lzn1XS0+0wWMAO9wRyPXg8uzh1WLhqtyHmBOdY9rwM+EhFTKfVprfyfo1ExjgIfoDdmE4B30O+doK39BR3zalFKHRCR45w61iNr/b0m6P9J6PdHdaiviPRE930j9Cb3O3Tg59XAWhGZoJS6EDTU/1/Kv41iqywOev07kKhhwERZ5EciKNPA5zEwUTiNk3nsz+2GCldojTvdRa1qmJ9yjmcR1zCGmMhoNq5ey4pVq8jLy0dESBo8lMKCfBqE6pB8v89HXExj9u3ew5DBgyktKubeyVPIzsmmuKiYjCMZVBaXcNMzz/DM1Km89vJrTPv7iyiXi2MpGYTaXQBs2bKFa8dP4L133iYsLAzDMPho0Cc8/KdHWfjDQnKPZ9GrV2+OZxwj5VAKAGkZGVx56WWMufIqPB4P69avw+fxkX70CAsX/MQ148fj81QQFhaK4dPUVxkHD1HcpSvbU1I4cVS7XyxatIh33nyT2353C+JyMf3VVxnUvz+vT5/OimXLmHTttYjPT1VFBX+fOpWMjAxuvnEShsdDiM3GqGHDGTN6NK9Nnw6A02Zj89r1pB08zJDBQ8g5nkWvXr1Y8MMCcnJy6Nz5EmyGIjpCw5GVF5ey/5fdlBUUs3TpUqqqqvjq00+5etw4XC4X06dPZ8RTT/Ptt98yatQovKXlNI6MJtwZgqeqErfbTUFpGYXZuXz92Rds2biJ7Xt306hhQ5569DE6duxEbGwsSYOG8PaHMygpLUUQXn/pFZ56+imOpaazbs0afvnlF/r36cvSHxfhcDjw+Xw8/+TTtL24I9u2b+eRh/7Irm3bcSqhsrSMr77+mqjIKK4bO57YmBh2797Nh2+/xz/fe4dlK5azdOlSkoYMwyaCv6KKBx96CJvNxujhSXRo05ayxk2443e3MnfBD3w/fx4AxzKO8MLzfyMqogF2sSOmQnl9IELqwUM0j2tKWXExScOHM3TQYEJDQwkLCyUqOprU1FQaNorhueefY+2aNdw5eTJiKspLSpk9ezaxsbHcfsutXH/99SxatIjo6Giys7MJDQ0lKjqqev47xIbdZsdQPpTfQNk1k1g1m5gIOBwM6jeAgcOG8uY7b5PYLZG/PvPMScFjpxMRiUArcyYwxMIYDVx7A3i4jjIdrDLpaMvq8aBrSeiP8j/RH6uAfIFWap9USp2EDWdZe84EjTIJ/fHdiA7KqbLKPgvUZxV5Cq28vAU8HFA+RMSO/qBPFpE5Sql5Vv570B/nRKXUSTBTVht/rTQDfgEuU5plDBF5HjgI/FFEXlRK+U5XgaXgfwSEAlcHtR0ReQittNQu0xCYiUZGGKqU2hd0rTMaausDtGKKUuo5EWmNVmyn1xNk9RJwf5BCF6hvilXXfcDLp3uW85DlaKVnJNraBjWKyBJgmIiEKaUqgq5VojdotaU/0DWw+bIs+8uBESLSVym1OSjvfUBaHZbPqWhc48DGEKXUdNFkIcOAT84xeKwQaKWUOhacKCJRaMXxFRH5MjB3guSs55W1KfoDenPYN4AiIiJPoTeeTdHoJuciiegTkHuC1tgb6E3x42gFP/Ask9BK7Q70XCyz0p9Gb5JuEpGFSqkAduWFHPPashy4RUQ6K6UCTIYj0RvaY9bfz1ntawj0AFYGvXsc6M12BPqdtCroOZuh30sfikhrdYGxtf9/kX8bxRbgJN5c60/TVJiGSeCUwGazYROFTfRW/XwZJpQCj6eGJ7ZL1y7Vf3/19Sxcbh1Usy85mW27dqGU4u4pUxgydAhlZWVc1LEj0974B3Hx8YxISqLK4yE6KopWbdpgE6H9Re1xOJyUl5dhs9mYcPXVfDV7NitWrcTlchHiDqFv337YLUtwYrdu/H3qVJxOFyI2PFUV/O6mm/nTE49joujeoyc9evVm4OAQiivK2bx9G3feMZm7Jk8hPj4ewzBI7NGDkZcdZMq9d7Nx8ybGjRmDiGD4/bRokcCJnGxefnkalZVVxMfH07hJLJ9+9SUD+vfnmvHjKS8vI9IRxaWXjiShRQv++dZb5OTk0KhhQyorK/D5fXzz7bdERkbywnPPkp2Tg8PhIDo6Gk9VFcn79zN/4UK6d+/BiOEjiIuLo3mz5kRGRhIfH0d0VDTFxUW0aNmSqspKvpo9C4DY2FjatmlDw4YNOZKldZWIsHAqy8oxQwxGDBtOXGwTrr/2Olq2bElpaSmNohtSVVGBz+Ohslz7B1977XVUVlWyYu1q2LubKbfeTp/efWme0JzQ0FDi4+KIjY/j8rFX4Q5x8/zzz9OxU0eys7NZuWY1IsKzTz6FaZqUlJTgcrloGN2Q++++l9f/9U8W/riQh+97ALfLxd+maR3pjw8+yOhLR3Hs2DGGDh1K7z59aNS4MStWrWTO99/x9ON/QUSY/d23FBQUMOn6G7hu3ARcoW7CIyKIaRRDYo8eLFm+jLKyMvr1709YWBiNGjbEMPz4/dqNwOly0e6ii3CHuCksKuLB+x9g//79pKSkMGrUKIqKihg6eAitWrfm1dde5ejRoxg+Pz6lV5RSiiaxsdw4cSLtO3RAgMjISFJSUsjIyKBbt254rYO4qspKjfNsUftis+mFVr3htJRX+VU8o+PR1obPgpVaS55Dwz5F1Ur/PdpK9FCwUqubpJaLyHy01baBUqrUOrYeiMZGPUXZUUqdysd8qtxh/X4y+OhXKVVgKRgnHXlax50PoK2vfwxWwJRShmgoqjvQH815QUX9aAvW+bTxbOQPwYqJUipHROahj/U7ov13TycDrXyrg5VaS95CQ7W1q5V+K9qq9kCwUmvdf6+I/BfwsIhcUvt6faKUqk/5+Qj4B3pDcaEV24AVbiQayzjwdw6awewytMXvZxGJQStcS5Um2Kgtfws+UVBK+UXkYzQbWl9qSEtQSqXWUR70JuJp9LPOOt+HCrqPB61Q1U4vFpGPgNfRmMKr6yh+tvMqsI7+roKg8ZRSVSLyF7Rye65SATxSa43tE5F1wFA5ma0vQMjxRECptfKXi8jjaOv/nejTFbiwY15blqFPbEZSQ9E9Aq3wHgEeEpEIq50j0G/fYEvwVei19lqwUms9T6blujDdqv//pNX230axPcnn1bLeikWioFDaWmS5Dzjt1t+O8/+wOu12yisqqv/fKC62+u/pb/1LN0OEqKgoBg8ezHXXTOCOyXptRrkbUVCqadwdLidhUQ0It0VRVVVFdONGfPzJp3w9axZ79uylsLAQ0zR5fpomJnC5XDhC3FT5vMS3aE5YyiEABg8eTLtOHamsqMC0CabdRkREBLGxsRpv126jecsEGjWKIbpRIwAGDBpI6/btCAsNxVSK6MYxRDeOAaC4tISQiAgM00d5RTkhYdo63ax1S/w+P+0v6YjPwnXv3bsXYdGRoBSmXUjs25uK8nKaNGlCeWUFrghtQT6QcpjKykp69OhOTNM4mrVuiWkY+C1UiLHjxzF/4ULCIxuQNOrSmj5s3BCf30+3Pj1RSmH4/SjTpGlCcwCat2rBJd27YXc6cUeG8fHnnzHx1lsYP3YsSSNGMGToEKJjY4hr0ZzSkhL9d8sEfB4PYaGRmIaBzeZg8MjhoODpv2uSgFtuu4227dpidzhQhgFK0Si+iUW9G8Lw0ZdRXlJCaFQkR44epXmzZgxJGoFdbOC0E+J2U1FRwT3338fr//onu/ftpUe/PnirPKRmpAFw/cSJXNS+PT369kbsdjyVlXTt3o2E5glkHDlCpd9LbGwsu5P1dztp1GWMuWY8yprbPp8Pt9tNj+7dWbN2LYOGDeWiDh3wVFVR6fViD3Hh9/sxBDp27oxp+Gljs+HxeNibnMw3c77hqWefoaSkpIYlDCgoLLRogBURERFcdeWVLPzxR26fMpmrx19N/359adu2La3btMEwTZx2O2stwlGHw4HDoV8NgQCykzacCj1XAmyA5yc9rd+ral+wPqg7ORkPFTRwPmhrSZ866myC3u92QLsd9LfSF9f2aT3HdprA2jqurawjrQMQg/aPfVrqPlGqRPv4BeRLtPKwV0RmoftknVIqt67C5yHFSqnDdaQHcHgb1nGttpxuvAwRWcupim1gvBKlhrQhWDpYvy9G+zqeUSw3j3uAG9H+nVGcbN9ofjb1nIsopTJEJBVtVQ0ANw9HK0Or0JuSkdS4Fgj1uGYAtTdxUM84iEg42u96ArqvGnDyYcgFe1bLgv4YmiylKTX4wKe717nMq3rnD/rY3X/2ra2WQ0qpktPcPxoIKLaBdbyyjvyr0FTMPQIJF3jMa0uw0vymaKKROCv9KBqjeQjavSPgshBcd2BdtapnXQX42S/mP4rtv5lYy9fusGsGJNHKrFIK01SIDUx1/q4IPmXiDHFX/3/jphqEhBXVe0eFdu9aBaxiy9aa09EA81ZBwdds21GDYf722zBnDsTEQI8eGjDfgmRl0SLIzvaydXsNI9gBixGsrPwd1q5755R2BnSHxJ6PkH7kEdKPwDHLVpWXfys7a3kiBtqVl/8VG4IYwUqs5b9ufQ1DwG5rr1hS+jbbtr9NbTEMTQCw2WIw223BljudG9i2/dRvYYEVtnHk2Ats2PrCKddry7EAs1nK3Wzcend1+j//CV98Ucn382bz9ezZgCZOuO02GDmyrppOlmyL2+rYie7k1xEP3aABeLxHWbteu4EEUN8iGmSyJWhsAuK19uC5ubtZu0EPZrZ1YJxxrCs5+acUIdyaTqvWtSA+HlLTA3XcxfrNd52S32ERMezZ1428s4D6f+YZTQbRrBn0769JGgJkDnPmQEnJITZtq2Ege/AP0DgWli3bw9S/ayOKywXDhsG99+ry1W1v0EArrTabdgUSU28gg09ElUKZ6owuB6eRgDU2u57rJ+pIi7F+P3aGugOLOUAreLy+jGchUUBBPUf1p2vjRdQQQdQl1S8cpdQ/RCQPffT8B7QbhhKRVeigorqUoXORonrSA8qEvZ7rwfJrxuvUCX+yRJzherDMQit6qWiL9wm0vzXofnPXU+7XyjL0c/REW9ZjgWXWycAWao6pRwblr0vqGotTxsFS4Jejrbh70M+dS41V/1ku0LOKSH/rXg50u+cDJWhFsDv6dKWue53LvKp3/lgbozreomeUc71/QV0WVctqHvBrD5YLNea173dMRA6h/aTttcqfsO41Eq3YjkSPRfA7ILCurj/Drc5lXf2vkn9fxdYSCVDsQjV2pomGHxIlqLN5JdchnipN0HAhpbAQvvsO2rTRTF+1q19+tvu5f1MJPE9hYd3XCy4Q91LnzvDSS1qhPHhQU8x+/z288IJmWOvV6/TlA4xkhYWnMn0Zhlbygxm6Avnra39+/sn5apdpXoctI1BXAFEuuE11ybn03YEDWqnt1UvT+TqCVrFpwtd1cEW53Zpp7fbbISdHM5AtXgxLlujN0Jtv1uT1+/1UVlXhcjqtAMt61NdfodVSA8EUV8/1uviMA2Wi6rHU1JbAh+/XWLaKgUYi4qxDuT1dG79XSl1ztjdRSn0GfGb5SQ5EK2+TgcUicnFt39v/Afk145WolKozGPBcRER6o/tlKXBl8HhYVrU//9p7nEaWo5WcS6kJcloe9PsvotE3RqKfe/spNZybjEcrtZ8qpW4PviAiTTn9pulc5Wm07/QpxA6Wm8D4C3CP4PlzkouFpdzF8Os2oGdz/zrXseWz2hitQAbLbznmy9EnD32s8keUUilWezYDl1rj3AlYoJQKtmgH+nK8Umr+Odzz/4z8+yq2SvPTK2ViGlqhrfHt0zBENgXnazNyO10YXh+9exdjGIalPGsrZN++pdo31QL2t9lslJeXV/uSImLh3nahceOb6N37XRwOBytXrsQ0r2L06Hu59NI3KC8v120VITsnl6yszoCfbt3ycbm0tbCkZDkwnoSEp+h8yUM4nA6NzepwWhBXlwDQp88+RISKigoSEqYDf6dDh4V07dqvGvIKoFGj40AiMTE30afPDExTr4fw8CuB9fTpU1LNPFVevg4YS7NmTzB48PN4vV78FsB/lceD290DEAb0T6a8ooLOnQ1CQ9uQnu6kU6dkoqKi8Pl8llVP+PTTB4FPad78STp0uJ/Y2FiKi4urESiclknRMAy8Xi8HDnwL3EuLFm8xYMCdeH1e7HbBE8Sq1n8g3HWPm4GDPub3995H8v4p3H3PPyzWLA82m92CpJJqVrcBA+7k0KHPKCl5l/Hjb9E4rNbmaN26dRjGaNzulvTvfwCfz4fd4aBt2y6kpaUR0/gXLurQgarKSlwuN37Dzxeffw7cz4CBv6NHr7dxOp30H3CvdY93GDv2ZkzTrCZIOHz4MLm5vWnduiVJSXux2+2kp8/km2/u4NixSQwe/Fk1nixAcVER6emdgWK6d0+mffv2lJeVExKqSRZAYx87HQ4qq6pIT/8euIObbnqdfv3uqmaDq6qqYtOmTXg8I3G7W9K3b7K1lBQOh6OajMIwDK66yssjj1TRv39/du8+TMeOmURHRxMSEqLnh9OBw6XnlSkKEZt2qg2ICCI27A579ZieowQ+AsPQ/pFBVUsU2lJUWzYCvdDHdAvP4h6WcwWXi8iT5+mOsB39YRvMqX6Aw+vIvx+tUPevRxk+rShNOfsjOhrdhlZuhwDfnmO7L7QEj9dJYikmg+sosxFNPzyEelAu6pDARKrLZNHe+j2/jn7ti1bOfitZjj7CG4m2EKcqpdKsa8vQAYO3oC3182oHt52HBJ61rnE/ZQwsOV3fneleBfUEnNV3r3OV7WjL5zBqKbbo+fFb6yI70GM3lFMtq0PRfVZbMf0tx3wZWrG93Lr/t7Wu/RXtbhP4f7AE3mtD0Nb1/0gt+VWTSTSWXSl6QfmVUr2tHcwsoDU6evkGVQtbsJ66aiyzCkupDfK5PSmzld+6rJRJRsZD1odX/4j1+5Q06/82sWMYBja7Qx+pBn20MzL+ijIVdku5dDqceL0+8vMFwYbNbifzuH6kivI9ZGa+ijIhKlL70K9fv4DU1DjNzmV3Ulbu4f77v8Tv10pmQd4HIOB0uCgv0z62pSVbqSifBSKYhg7aMQwTw9B+7vl5X6IUGIaivEz7BBQXrcBTVUBFuYHD4cTwG5SWaMOOz3uM3OzvsNltOJ0uTFO3t7DwJxx2BxXlfioqtOLjqUojK2sBpmHicLqw2+yYSmGaWqkqKlprKfom48YOYdbsn/nb3x7muWd/Dwh+v5+9e1P56ivt+uDxnMDtOkpx0TFsgboMO+UeA7vDgd3uQJk+DEPHxfj9+RQWJuNyuVi5bjNdunQiMjISu12zXpUUecjJ1jEjYaE2TCMfr2nD5/Ojv6mCzWbH7zcQQpkw4Uo+++wzXn/9VcaOvZyIiAhczhAqq6p44YUAQouisqICd0gIfp+Pm2++malTp/KXJ/7CzJkz9VxRisL8Al55+RUAJt8xGRsCpuKO22/n888+Y9q0aYy+/HKaNmuGz+vDNA2effZZTNPk1ltusQIfFWPGjCE6OppvvvmGe++5l+6JidUbtBdffKka+k0ZJn6vxr01/QY2NFavYRiYhkloSAht2rQBYNWqVdx3333VLHG5ubk8+uij1fM4QKmbkZFBZmamJqaw/MptNhtKKcrKynA4HNUMZYHNXMA/VymF1KattnzgbTahYcMYRISjR49yjjIPHY19k4j8q9Zx+3OcGjgGOkjpbuANETmklDp4UrM0Hmc/ZWFAKqW2ich6tAX0cXREfXD+GKA8OCisDvkYrdj+XUSSgiKTG6EtXSeJdaz5L/SH6U0ReaR2NLlliWkYCJgSDYm1tJZVBmqORiv4n5f1aOiyoSIyvlYA2QOc6l8Luu+eAp4VkS3q5Ij/gJV1aC2FKnAk3RIdQR8s6dbv4WjYtEA9TagJ8PlNxAqK2ouG2/IDweci69FwTE9a/78QZ3Pp1u/haGgwAESkLfUHxwX33bneq6OIdAu2rItGmrj8HOuqTz5BB2c9JSLzglARQqi1Ln8j+QitoL4kIsMDaAYiEoaGJwONsFAtv/GYr0BrOveh33XByuty4Blq8Lxr1z0PvTbuF5EVqg5YLxEZAPwShNrwf0ouxC5pRK3I3SfQfijTROQJ6/+Pn6kSS5c9+V/rAwog9pqPq4hgKoU9EFymFHn5n3OhJDv7FOSaUyTXeuKKyl1kZtYYI5KSYPnyY1x55fP07q19VLdt0/6M7dvD4cNwLLOmOwK+msUli0nLWHzKfSxdmNS0e6rTCosCZV/j4KGT8wd8bEtKV5N+pCaI1SK84vDhidVpx62Dn/yCWaSknBpcaxmBSd5f8267YSKsXAXvvvsN69d/Q+fO+hh95Uro2xfWroX8/I/YveejU+qrLUes2OCsrGfZv1+frL38MmzdCt27Q9Om2pUgPR02bdK+sf36/Rc7dvzXaeuNjoYxY2DBglS6d2/L0KH6uH7DBu0S0Lgx+HxH+WVXTHWZIUOga1dYuHAh3bpF0r+/jaoqWLXKpLAQJk1yYLePZccObal0OIRJk9zMnHmEXr3bM3y4i5AQG5s2eUlNNejWzcmIpBn8susDAhurP/3JxjPP+Lls1HAuHRlGTGMHu3ZVkZrqo3v3EHburGL/wTEUlzoRsaEU1oZLqIElEFwuoVu3cObPn0/fvo1JTIygoMDPhg3FtGoVSmysE58vmz17krDZ7OzfX8bNN++kTZswOnWKID4+hLIygzVr8jlxoopJk1qQmXkLgR2kUtC69RuEhrbR1nCxDkuCfGyV5YMbERFB3z59WLtuLbfeeisXXXQRdrudsWPG0D2xfixbpVSZaPzWWcAaK2gqgGPbBR2BPbRWmf0iMhn9kdorIovQ0EJO9Md8CNoPsVNQsd+hA0ZeFJFrrb8FbWUZZeVNP810mokGnx8H7LEivp1oqKUt1K3QTUVHSd+LRmlYjj5mbWLddxBa4QsETH0NVFkBWOlW+4agjym3oY/e/0dFKaUsRWcJ8K2IBHBsE9GK/yJgdK0y+aKxir8HNorIMnQUuIkerwHoI+jgQKVlaB/q/xKROWg4tiKl1Fvo/l4HXGNtWNaij7avQCvdp5BzXGBZhp6bgb8BjSpgReKfk6/lGSSA+fuIaPrkHeg+G4M+rahLeV2B7tuXrICkQqt9Zwp4mI5WYNeKyGz0UXdv9Fqcg57rv0qUUuusDd+D6HU0hxoc20J+Y8pjpdRXIjIeuAH97piLVjOuBtoAs5VSX9ZR9DcZc6VUnojsQq8fOFl53YDezDZBv8921yrrE5Fr0Pi1C621sNMq0wL93miLDgL8j2J7gWQ8NUd0n6I/JKdVbBUaxzbwY4JlbLVhovAZfkvBVZiA2ATDNDGwWfBfNUpvy5ZvYJoGSpnk5OQgAvHxcdo31/STlPQqACtW/AnTNHA6HXi9XoqLi9AQmNCgwcNUVVXRpEksPp8Xm01bpwzDwGYTTNPEMEqA9wkN7Uxc3ChMU7szvPKqj/ff28SixYeZN6+Mhg1DSEpqw72/78mfHl0CZBEXd7fl/gBRUceBRYSFJdKoUTcNoaRMbDb9vHb7XAAaNRoLKETA7f4F2I9SiTidTYiMjMQw/ICyLHJLcbkSiIrqGuhdHI7NQCGRkZdqK5xAaGgBsAOXqxWRka2rnw+U1YZtAISHd0cpk4qKchISwvjgAw/vvnuc9etL2L/foGVLN4891pjQUBtr1x4hKiqO0NDG1JzMBBAvAj+mdTxeCuRhtzfC6QxHBK69tpKoqAr27fOyZ4+BYSgaN7YxYYKbG28MJT4+0L7AzDGCGORMAhujRx4xadXKz/z5Bj/8oIiMhMGDhTvvhBtuUDRrdvIcdDrhtddg9mxYtgy++87Ebod27eD++2HkSH+1W0dA7r5bb1a+/16xaJEHv18Hc02ZAjfc4AOyqzcHAIMGacX9008Vy5aX4/XqDc+MGfDVV9po6PGkUXU6+6ElU6fChx/Cpk3lzJpVTmwsXHEF3HJLKbffrn1ty8o0pGJkpPat/eWXCrZsqaC4WG8SWrSAO++EpKSjFBWdbHH1+YoIDbUUa1Od5IWAAuX3gd2GUiYfffgRjz3+Z5b8/DOzZ81CKUWL5s3peQaSBqXUHMta+Sz6gxNgHhuA3hAPraPMFyLyCxpsfQz641iGVmrmUAv+SCmVJhrM/M/oj9gDaEtF4YJpAAAgAElEQVRLOhqJ4LS+q5ZCd73Vntut8lloa+TfrLpql/GJyNVopfp2q50R6I9UGtqaG/wRfQKtWPREswhVoTE9HwfePVd3hvMVERmFtpZfjA68m6eUujpw3VJOhqCZx66wkjeh3/eXU0uxtcosE5Fu6Ejvy9EKuxe9UCPRx7HB+ReLhkS7C02g4UL3xVtWkNE44AV0P/0BvWH4wEo7K2SFep79OfQ8PMXPNEiWoVEKFJrdqzV6PD+1ro0EslUNNul5iwVDlYS2Jg5H91sqetP0D/Rmq3aZZBG5Dd3X91GzYTitYquUWiQiY626p6DX1Ep0tH9bLoBia8lD6I3ov6iBxPsebfX85QLd43QyCR0JPpmaeZeMfg+8W0+Zk8a8jmu/ZsyXoRXbfUqp6uBLpZTX2uSOAlYoFRy1W51nl4gkoolJxqDh1Ez0u2kHei5XGxxFZLjV/ueVUs8Fpa+kDrbF/99F6uizsy8skobebSk0Jd0MESlSSkUH5SlUSp0WTqZLt65q84b1eA0/focQ4oXwcpOMwylEdW9Hemk+JUeyGNqlNz6fhwqXVmxtprLYpwx27mwMCF26nKBBgwaUlZUxe/ZsEhMT6dmzJ36/H6UUXbp0QynFvn178Hq9OBwO/H4/a9aswe12k5SUxIoVK8jLy2PcuHHaYoU+uvV4PDidTvx+E7/fT0hISPWRblVVFaGhofj9fmw2G16vl7CwsGr3g9GjR7N27Vp+/HEhQ4cO0UfLplnt++h0Ornzzrv46quZvPfeu9x440Tsdo0IoZnQtH+q0+mksrKSiIgIXnzxRYYNG8bAgQMBKCsrw+l0IiJUVVURFhaGx1NptdmPWBS0wc/tdrvx+/3VPq2BdgUshoHj7G3btrFz505uvfVWDMPAbUE9eDwe7RPsdPLMM8/w2muvMXfuXEaNGoXH48Hl0nBVgaNt0zSx2WwYhlFdTyA9MBcDfs0HDx5k+/btVFZWcv311xMdHY3f78flcuH1ehER8vPzycjI4JJLLiEjI4Pjx49z2WWXVV8PPFfgmP3IkSN0796da6+9lmnTppGdnU1iYjcOHNhPSIibqKgGLF26lMsuu5SoqEgLcs7E7/dZmxoDw/DjcNgBxYYNG+jatQshISHY7WLBd7nw+31s374Nn89Lv359MQw9L0JC3Hg8VeTl5TFkyLW43W527vwJ0/RbpBBeyxfWBSi8Xo815uXYbFLNgOf3+1DKxOVyYRg+qqqqSEk5RIsWLYiMbIDf77PmlkFgQ+T1ejAMg82bNxIeHo7P56VDh4uIioq02MZspKU9jMeTQefOGwgP76bXl+gxcYudwpxcGoSGY0c4nn2CFq1b4xcT7DZMmzbtitL2ZYfYsLmc25RSvc/7JVOPnKUi8h85S7GUtGS0f/BMdCDNfqVUHaGIF+R+nwC3AW2URcQQrCjWDpj6raW++SSa5neVUmp4HWVa8z/U3tOJnCeN8H/X85yuT/83Sn1K5b9DG/63Kra/1mI7SGlA4CbAEhHZf8YSlljHkHcDNGverP58SLVPLdZPwB/X6dAwYMqs8dlu0KABq1etYu/evRQVFRE9dCjz58+na5cutGjRwrJWatKC0NBQ/D4fPp+PtNRUysrKKMjPZ/fu3UycOJHioiJWrFjB4CFDECAkJITysgqcDidis3H44CFy83Jp3jwBh91OfHw8lZWV5OblYZoGZWVldLioA9k52RRYYe/KNDEtP0aX06l9ak2TstIaFsjMzONUVVYSHh6OaRigwOvxkpqSwonsbHr26IHL6SLzeCZdu3Zl3969ZGZm0atnT8pKS8nNyaVJXBym38DhtGETwWG3Vyt2J7Ky6NipE56qKlLT0riofXtEhMLCQgzDoGOnTpSVluF2hWD4DZSpSEtJxe/zkZWZhdPhoFGjRuzatYvE7t2x2+zM+34u77zzDg2jG9L54kvYu2cvCc2b43a5wVQow6TK40Epk+wT2cTHxxMeEc6ePXsJCw2lQ8eOVFZWYrfZMJXJiRPZLPxhAfHx8YwbOw6b2Eg5fBiXy0WjRjGYhkFEgwjCw8Jo364dJcUlbNqwkZycHPr06o3fMGjQoAGGTyvvonTf//kxjRQ1btw43E4XLVu0JPN4JsuWLOeSSy4hvmlTvB6F3yeUlngJCQnB7zNxukKw4cDptGPYtVKempLKujW7aN+2Bw2j46sD2pQCZVRRVGAnNrYlhj+GiIgI7HYb+fn5NGrYHHuTBBwONyIOTH9TnC4nghDZwE1RUTENIhpTVlZKRLgLm00IC9XvnYryCmw2Gw2iw6isqMAwTRpEhJKbncq2rbuJj+tIVGRbHZxmmoRHhFNaUorX6yUmpgEFBQUcP55B+/btsdkUzZsPqw7qKy0txW7XcGdOpxOHw2HhDhvY7Sf72Vb7pP+veh3+n5ZL0Ra+R1UN+9JvKX9BWyN/y0j4c5G30C4hR86U8T/yq+Vi/o8ekf9H/nvkVym2SqlM63eOiHyPjkzNFpGmSqksK0iizqM+pdQMNL0kXbp1rddsbJhGtXUP00CZJkppvGQRbSELCcKj3Z+czKpVqygqKqJ169asXLmSPXv24Pf5iI2NrWZhcjgceKqqsNvtlJaWcuLECcLCwjh27BhFRUUopXj55Zfxer0cP36cAQMGsGfPHjxVHvr17U9WZiYHDx6koqKC3NxcRlkBRD/Mm0dVVRX5+flkZWVx+ejRLFu2DJ9Xnya6Q9zaomvBKfl8PkSEyMhIUlN1sOj8efMZMXw4g4cMoay0FJvNTk72CVatWkVmZiaeqiqaNm1Ki4QEDiTvZ+7cufj9flauWEF+fj45OTlcd911jBs/HpfLXm2ZzcrK4qMPP6R3797Y7XY2bNjA9u3bGT58OHv27KG0tBSlFG9Mn06DiAgMQ+GrqsIZEsLGjRspLS1l44aNLF+xgtCwUMLDwunUqRNZJ7LYtGkTSinGjhnD66+/Trt27bj++utxOhyYFupEakoKX375JXv37uXee+8FqKZ2ffHFF8EiLLDb7eTn5ZGenk5CQgJZmZm8/PLLjB07Vlt/XS6GDhnC2rVrsdvthIWF4XQ6WbNmDe3bt6e0tJT3Z8xg9jezGTJ4MA6Hk+zsbDZv3kxhUSGDBg6kVYuWrFq1isTERHbu3MmuXbvo3LkzqSkprFu7lmVLl/LAAw+QkZHB3Llzufbaa4mIiKBp06bY7XYOHz7MgQMHSEtLIzc3l4YNG2K4XFYQlo/y8nJWr15Neno6V111FVdddRWvvPIKIsJzzz3H0qVLq9EhHnroIXr06MHvfvc7PvzwQzZt2kTSyJHccccdlJWW4rRgt3bv3s0PP/xAeXk5kydPZs6cOYSGhjJq1ChmzJhBbm4ubdu05dDBg3Tu0oXsEydo1KgRGRkZzJkzhybxcVxzzTWEh4fjcDjYvHkzcXFxJCYmkpyczPbt2+naVWuqXq+XyEiHZc231WwogzTZ/+i0/6skYF34rf1UAVBKZfEb+1Wei1hxIheK5e0/chpRSp21Aew/8h85HzlfRlpEJFxEGgT+RvuD7EHDT9xmZbuNk2kjz72BFm+9zW4Hm70a3skmNm2F8xtUlNbQvX/28SfceP0N5OTk8vrrb/DQw48wa/YcPvzgQ0pLSvUHGnDa7BheH8pvUFZcTFyTOFDCBx9+zEcff8qAgYNZtmwFTRrHsmXjJjZv2Mi2zVsw/QaHDxxk8U+L2LBuPUUFhfTv2w+bgnUrV1GQn49dbGzetJmmcfHknsimV/cexMQ0qnkeEZw2OxgmyjBwOV1s2bQZr0dD5UVFRtKrew8wTBxiw+1wsn7tWhYs+IHPvvicGyfdyJixY5j/w3xmzHifKXfcQaeOHQlxuTh+/Dg/LFzA6tWrMHw+bApMn5+PP/6Eizp04p///Be9e/Rk/959dOvajSuvuIKXXnqZt995j3vuupuK0jKqyspRhsHG9euZfOcUWrZqybvvv8fPS5ewL3kfHTt2pCA/n5TUFObO/Z6NGzeilOLB++6nZ2J3brzhBu65917iYmMxfD5efnkaYRHhfPzJx6AUV11xBSeysljwww9aCf2vGYQ3iKBl61ZMumkS27dvJzoykkEDBjAiKYktmzdjt9uYcted7Ni+jbycHMZfPZ5JN9/EXXffRURYGH379qVL585MueMO2rRty/ChQ+nUsSPLli9n5tczWbFyBaZpcMN11zHphonYgG1bt/Ltt9/yzrvvsvDHhUy49hqm3DmFnTt30qhhQ37ZsYN1a9bw8B/+wP59+6gsL6dpXBwZaWnENWnCxZ06ccvNN9Ota1ce+dOjREZHkZ6ayltvvcWQYUN59/332LBpI7Nnz+bll16irLSUjLQ0Ug4doqSoCGVqF5a42FhCXC6+njkTl8NBXl4u//jHP2jTtg1xTeNp07YtV151Jd/MnsWIYcNo07o1n3z0Eb179uT+Bx6gZ+9ebNy0kX59+/L5F59zy223cvElFzPhmgk88cTjrF+7liefeILKykqysrJwuVzk5ubSrFkzUlNTKSkpYf78+bRu3RqlFLm58NRTb9ChQwciIyNp3rQZQwYN5oW//73m9EQvfLZt38HESTeSkJBAVHgEHdpfxB8efJCsrFN1FhH5RESUiLQWkXtEZLeIVIlItojMEA3zdc4iIreJyA4RqRSRHBH5SETqwlVFRBqJyEsikmzlLxaRZZZ/ae28USLymIgsF5FjIuIVkVwRmS8a1L6u+pWIrBSReBH5QESOi4hhHQ+f7hmGW2WfE5HuIrJQRIpEpEJEVonIwHrKRVnPc8Dqy0IRWSwil55F11XfF3jeSlphtUNZx5dYz6NExCUiz1j38ljuBFhtrs5fq/7W1rVPaqVXz4VAHehjcIDbgtqgzqLvNljtCa+Vvtoq/2Gt9Eus9M+C0k56BhG53eoX0Ex3we15rp7n/FpE8qxx2CoiY+ppr1tEnhCRXdb4lojIGhG5oY68w+u7p3U9XTQ6UeD/K6mhef64Vrtb11VHPfV2EpG5IlIgIuUisrauNRKUf5KIrLDmX5W1vp4WkVOIHQJrpFZadf+LyHUistnqmwKrX+vEohaRPiLys4iUWv24VEQGnG5O1lNPBxGZZo1brjWfMkS/lxJOU26UiPwg+r3jEZGjIjIvsP6seR/wzX221ngMr/3sddRf3/o5r/aeRT+Mtu5XZ/S3NXfzrJ/figzlV8uvsdjGAd+L/sg5gK8sJ/QtwGzREbRHODM7xmnFJgH2o0DEtmY8Mk0TUyAiMpKy0hpc5YKCAl6cNo1v5nxLw4YNGTRgAKZpknzgINdPvBGvx1MNj2S327E7nRw8eIgPP/qIvfuSaRofz7AhQygrK2NvcjIvvDSNq64Yzfz583nhhRdYtWIVmw4cplVCC8ZccSU+n4++ffvy9NNP06xZMx588EFmzpzJjdddT5s2bdi5cyfN4uJxOjVu7ZH0dFolJJCQkKCDtazn27x5M40aaVdkt9tNeIMGVJSV4ff72b1nLw/+8WEqKytJ7NaN3j17kZ2TzZatW9m1ezedL7mELZu3MHbsWOLj41n082IOHDhAeEQEhs+DiLBkiQ6s9ni9fPTxx9olwjTZuXMnR48do327dvTo1Yuw8HDimzblgw8/5L4HHsTtdpPYrRvNmjbj0OFD7N6zh4iICJ547M906dKFEydOsGTZUuZ89x2ZmZk0jY+nffv2hLpcFBQU0KhRI+Z89x0ul4tuXbrQOKYxFRUVrN+wgdlz5lBRWUHT+HjunDyFvLw85v0wn0tHXcYr014mLCQEt2VZj4/Xesrylav4+LPPuLhTJ0aOGEFlZSVut5uUw4dBKRo3bozp8zGgf3+GDx+Ow+nkm1mzmDdvHjfffDMbN24kNzeXmJgYCgoKePu9d+l8SWd6dO/OxRdfwvoN69l/4AB79u1lwrjx/OnRR9m3b181aUHG0aOsXLmSW2+7jf3799OubVuqKivxW1Fijz/5F9auW0e/vn3pnpjI9h07WL5yBbt27+KB39/H8GHDaNeuHQsWLLCg2JxMmDCBH3/8EafTSc9evVixahUDBwxgyODBRDeM5ujRo8ybN481a9dqGDifn/DwcAYMGECuBYORn5/Pm2/9C7c7hKQRSfh8Xn5esoS58+cz6vLRvPPOO3To2IGKigrcbjeNGzcmPDycXbt2MXfuXMLDwxk4cCAzZ5bz8MNQUvINgwYNYvz48VRUVrI/OZnnp/6N++/SDHEiwrKVK7j34QdRSnHNNdfQolVLdmzfzowZM1iwYAFrV9bFngnAK+hAoh+ooaS8C42nmVRfoXrkj+hN9Sx0ZP5gdCDFcBHpp4JoaUWkFToopjWaxnMREI4OvlgkIvcopYIhNy5GB0qtRkeiF6Kj0ccBV4jIWKXUojra1AiNNVkGfIcO6qiPsau29EYHum1AB0W1RGPBLhOR7kqpA0HPE41GCbgEjRgwHQ00fwOaw/73Sqn3z3C/dLRSOxyNMfopNSgR6bXyfouOuP4JmMsZAu/OUVaiA9YeQgcSzQ26tvMMZZeh6ZOHoMcU0TBO/azrtfkKk4LK1Sc70f3yLDp47ZNabQ2WVsBmdHDX5+jxnwjME5FLlVLVQUeiIekWo/t6PxqmLAwdoDXLGuMnOX/5BO0nPR5tVAruu/qYumpLG/T82wO8j46unwj8JCI3KaVOCtAUvXGYDBxDz/ci9HhMBUaKyGV1QNnVJ/eh19d8dKBXP+veiVbfBFjmEB3I+DMapeRbNARWV7Qiea7wW9egUUxWoKG8vEBnNETZWBHprZQ6yW1GRJ5Hw3KVoefrUfTJx0B04OhSaubxbdbzrAyqIv0c2/ir2nuWshjdjxNF5I9KqdrcndeikUxeDx6Lfzc5b8VWKZVKDVRFcHo+p75IzkqkBvPLSgBTmRh+P4bfD34fXp+XKtBpCBVl5dUBNQCGaTJz1mwiIyP59MMP+Prrr+nRowc333wzw5JGciI7m4SEBIqLiwkPD8dTWcmPP/3E3n3JjEwaweN/+hNt2rZh8eLFfPfd9+xJTmbhT4v44x8epEePHuRk59D54s6UlpawddtWHA4Hl19+OS1bteSyyy4jNDKSRjExHDx4EK/PS2RUJE2bNa32A373vfdZtnw5rVq1wjBMTKWDqY4dPcb27TsA6NunL2UlJdXEArfefjsVFRWMGDqMEcOHc+ONN7JkyRK8fh9/fPRRnp86lRen6sDXfv360bhxY/YmJ1NRXo7DLjicTtatX0/rVq3IyMhg7br19OvTm6+//pq27dphmiZJI0aw7Ocl9O3Th927d/PAHx6iZcuWLF74I0uXLuW7775j5PAR/H3qC4ybcDWfffkFN1x3PS1btsRTpef35q1buWL0aEJCQ8nPzycqKoo1a9aQnJzMFaNHIwjNExLYtHEj382bS1VVJf379OXTTz6hbdu2FBUV8eQTTzDiskt5furfmPXlV4S43RQUFBARoelhU9NSuery0bjdbu6cMoVjx4/TICqKwwcP0q5tO5xuN+WlpUQ2iMTj9eCpqKCkpITevXszdMhQVq9eTbeuXbV/cLduPD91KmtWrqR58+aEhIZycceOtGjRgtsmT2bdhvUY03x06NCBGyZOZNq0aTgdDmJiYogID0cZBrFxcYSGhlYjc2zYsIFlPy9h4YIFbNy4kQfuuZcfFy9m9do1pKSlYvgNDh86RGhICMpU2MRGlcdDXJM4srKy+OKLzxkz+gq+/f57lN+PaZp4PB6uGn0F99z3e9557z0+fG8Gq1ev5ts5cyi0qMyOHjvGTTfeyO233MbGjRvYsWMHE6+9ji++nslTTz1Jy2bN+fmJx5n+xhtMmDCB/QcOkDQiifXr1pGbm8vjjz9OSXEJTz11lJISeP/9v3HH7Y/rOeiwY5om2cdqTqnLysp49MnH8fv9LFm8mMFDh1YHj73+6ms8/dRT3HPf7+tb6v2BrkqpIwCimX+Wo3nZ+9bGOz2DXIHGrt1R/doQeQNNrzoNHeUdkE/RSsik4KAoS0Fcicadna+UCiihyUCzWnCGWBaRzcAbWIpULemKVnAmn8MHPSBXUSvoR0TuAd5DK333BeV9Ga3UzgDuDURPi8jLaArON0VkcSA4qy6xrj1nWQSHAZ+cJhivFdCldn9cCFFKrbQsjw8BO88xyGY5Gj5tJDXjMQSNqLAEuExE2imL2Yma71O9yo9SaiewU0SeBdLP0J7hwHNKqYDVGxH5ymrLY5wcTf8oup9/AsYF5oelJG1Gs1ktUEqtP9ND19PuTywj0Hhg7rkEjwXJUOA1pVQ1dbWIvIVWdt8TkZ+Uxfwn2po+GY1ucLMKwmyWmoC8+wlADp1ZRgN9lFLVEFdWX06ynmm2lWZDw/6FoFnofgrKfy/1oxzUJ58Db9RW1iwr9U9ozOrf10p/Bn3KMKQOpTcBQCk1V0SK0IrtygsYPHZO7T1bsVBg3gNeRZNPvFUry93W7xnn3OL/TlEWDuz/5M8lXbuoqooyVZWbr0oKC1RZUaHyZ+aq1HVbVEVxsdqXflBtXLdWGRVVKq8oT2WWF6j8gjxVnJur8vNzVX5+jlqxArVihajbb79NAerdd99RBQV5qqysRJWXl6q8vBz1zTezFaBatGihCgryVGFhviouLlRt27ZVIqI2b96oCgryVHFxYfXPW2+9qQD1u9/drAoL81VJSZEqLy9VRUUFKj8/VxUU5KmiogJVWlqsyspKVH5+rsrNzVa5udkqPz9XFRbmq/z8XDVw4MBgvKvT/rz37juqsCBP5eflqKVLflaAat2qtVq1YqUqKy1TeTm5Kj01TXkqq1S/vv0UoBb8sEAV5heowvwCddOkSQpQa1avUQV5+Wrt6jUKUC+9+KLq2qWL6tunr8rLyVWZx46ru+68SwHqp4U/qvzcPJWfm6fuveceBaiZX36lSoqK1bEjR1XKocMqLydXlZWUqitGX6HsNrvavWu3yjmRrY6kZ6ghQ4YoQP28aLEqyMtXRQWFqjC/QE2ZPEUB6rNPP1UnMrPUicws9clHHytA3TnlTpWWkqpys3NUYX6BKsjJVaU5uWraCy8oQM3+4gtVmJWlCjOz1J8feUQBavKtt6n9O3aqo4cOq5wjR1TukaOqJCdH5R/PUvnHslRRVo4qzs5Txdl5qjArW+Udy1In0o+q7IyjqigrRxVmZqsTaUfU0UOpKifjmCrMylHHU9JVVtoRdSL9iMpMzVDHU9LU5FtvV4D65P0PVFbaEVWak69+2bhFbV69Th09mKIyU9PV8ZQ0lXc0UxWdyFGTbpioAPXUn59Qecey1N5tO9XyHxerE2lH1L4dvyibzaaaxMaqA7/sUXnHMtXhX/aqhGbNVULzBJWZkqHS9uxXh3ftU9OeeV698+obqqqgRBUeO6FKs/NVcWaOykk/qm6YcK0C1P4tO9XOVevVrBkfq+wDaQpQoSGhKvtwuso+lKGWfb9AbVy8XB3dc0D17t5Tz4WFP6uCzGy1be0GlZ1xTGUcOKwKjp9Qr059Uf2yaauqLCxRMz/9XAFq4EBUfuY6VVVYoqoKS1RFWbkqqyhXviqPKjh+QnkLStQn785QgLrx+huUp6JSeTweVenzqkqvR5WVl6vWrVoF5vOuwDpHW5MUcGftdwDayqqAB87mnYGGpVLAh3Vci0JbjSoBt5WWaOX/pp76xlvX7zvL+79p5W9ZK12hYcuanMs7EK0cKWBtHdecaAimrbXSytEEOY3qKDPVqu+Zc+zP4XVcW2ldG38eZVtb1z6plR6YC63PlPcs2h5ijfX2oLRXrD4bYNV5t5VuQ1veD57NM1hpK+u5b6C96YC9jusZQF6ttENoC36nOvJPser7qI558Vw9bUhHK97BabdbZW4/x34MPE8R0KCO64Exuy0obYfVz9F15Lej/ZY3n6lPg/r/hTrqGWFdey0obbCVtryO/DY0rnGdc/Jcf9Cseam10n6w6p9wFuXPNIbnvH7Oo711tgFrbddKi7HW0+5a6R3r6/N/t59/C0rd6ql+kmgEBFMpDMPUgPBWJpvNht0uOATEruGYAjVt2qQZ5lq2/ImjR9ciot0YlIL27RUOh2AYhRw//hggVFT4SU1NJS4unLCwj8jMBAi4Pti46CKNVrB162Kysv5mpev6IIDQUAOeHwysr++t4cD8fr2h++yz2xg8qAOGBamFAlNpy92f/zyH777fTnHJSvLzy1AK1qzRG/eevSKIb7qV3NzdminNZiMzy0b/AbFs2gxbtnxO165ZgNCnTxhfzYQlP79N2zZXsmzFzwAMGOAgLb0FH330M3n5PxAW6mbV6p8IDw/h4ouLqKxaAQibNmtDxuo1s9m6bb7Vs5oaWAG5eekYpkF29hri4zvidptMmjiYNWvWMHf+h3TtZgcl+HwG338/h5iYaEaObInNngoKtm3X9efkpvHOuy9is9k1uq1hYLfZSEnVgckHDm/j0ss7gxKwlQMwcFBn4hKcuJwKJR4Mv4nN5sHpsBjlbDZsFhuZqcChFG6l08WmAMEV5kYpNza7g40bN/PWO++xactWcnNz8XoDlOBaLrrkYqJjGmIYJpckdkNsNky/H6VMDEPjDWtqWb2UkkaOJCIqkojoKNp0uAhlGMQ0jadFQgIZR44Q0zQOt8NB64YNsdntiEDj2MYUlv4/9s47vooq/f/vM3PvTScFEkILLfReQpPei6KCIlaKBZVVdHfdld2vIvaya8ECim0VAUVFQDpSQ5cSpISSEEggIQFCCCm3zfn9cebe3CQ3oViW/b3y8XW9YeacM2fOzNz5nOc8z+e5SN6FPISuowfauOehiWzdsoWcs2fL9enUhRx69epN2x5dyb+oVoqaNG1CYFQ4AYGB9GkwDMOtVjmaNG/Gz3t3U6dFE8KiImkV1gbdaqWgoJDVK1fQMaEzDeMbo1kt7NytdIu7dgXNqqPZ1DlJTYHiXIoAACAASURBVJiCJOp+1zSNvb+opCT9+vYr9zxbLBZ69upF2okToJZZy+JnP9s8QrqVSgP6QTl/ByllnhBiL8oy1gK1HNvd3B0u/PsrRpvfLXw3CiFuQFkRu6ME021l6tWhfCR9mpTyWpfpy42NVLq4Zyg9Ns1RY7tZmlmcymAtymrT4Rr74Q9XY0n/wyClLBZKpL6fEKK6VKuG/YGdUsqt5tgNQFmZOqJcHspnpLl27JX+06mmU3LfIVRMSjxwSvoPoPJYkH/La3Yt2C2lzPezfT3K8tgB+I/p7tEORV6f8LgLloGdMs/UZXClvw2eMUosW1hKaZj3Q9MrPahQnb8bNSloZx7LNzWxo0yVbihC4m/F5nfHNfT3iiFVYpVvgPuEED1kyeqBx1o761rb/qNwXRBbkEikl9x6Ut8KU0PUMNwYUu0XQiA09dHA1NgsaSkvTy3NCrGE835+7sPCwO2+xNmznwGQY3rgRUQUkJNTsXX9woWznDlzpasp5WE3FwzOnfsPJyoQlCkwBVDOn/+G9IxvAEjPUNvq1t3P6cy/lqvjyXZ64uTXpB5Xv9V166ltq9bMp9+A+axeDdHRIPkb8fEqm9n3CyfSrBkcOaKIzPETd3nbzDZfyTNn+bq5lccv+x9FN++gRvEqq9fXX3/DqFHfoOuwcSOcz4XbboMjR0sIUOpx9b14ceXJWlLS3iJp/1sAnDGv08WCv7F3/98qrXel2LQJnntOJUno1Al69IDAQDWme/dCUhLs+PkGHC5P9i/hndj4foQQnD2vfkdOZ9/Cjj166f0IQkIVAV23oSmxsUpr2OHMAQQ7f2mK3e7A4XBQ4HYxdUoBNpsgISGI3r2DCAxSySv27Clmz54iDh2ZQHBoiJo0meeiW45x6GhvNQnwTrbgYv4JAJL2jeTs2UDvJMzpdBIRXURwaCiHU61oQiP1hEpjV6MGSE1HmhrASnFPeomtEIKLpjxdrbKZLkx4fKLxn7fen6+fZ8n+avPcV+S76hE89wSkedLMDTI/FSHU84cQ4lZU0odi1JJ2CspKalDik+ovgCLLz7YrRUV+kC5Kj43nvCpSFvBsj6hg/7Xg15zX742fUGS2n1AZzjoAL5v71qLcEQS/bXYwDyq7Zr4B2v+Na3YtuNJnKhL1IxeNcjn4LXClvw2ePlTU1yv1affgTZT7UibKz/QUymoJijzWL1M+AsiVZdJl/4G42v5eLT4A7kMlsthiBoqNQ/nVV04MrgNcJ8QWPxZbk+CaxECUKysxDInbZLX1689CCIiKeonTp9MJCXmeuLjqGIaBmcsMt9tNfv5fqVkznLi4/0NKSWRkIfAseXnh1K07FY9HgJRKazYjIxd4i4iIWGrXnoSUEiE8ZTx/g5RGKctxyQmptmy2BcApIiNHUbNmHZ/6eP8ODPwJOEJYWB9iYpogpSQm5gCwDbu9HdWrtzczoLnQNEX6CwuTgP1ER3cgKqopIImKkjRosIJ9+4oIDh5OUtJy+vaNJSKiA717u7Fal/PLL/VRz+YeevRoRnh4A7MfUK3aVk6dymfDhj6EhHh+l0vOT/XZk1BBnWdoqGTgwBQWLcrhwIEmdOtWjTVrjgF53HxzU4KDg7zlw8NPA+d4/fW69OoV6jNWvm1KM8+cmtDoei5wEau1BlZbAJQa69J9KZkolbSFmU3N99+fflqMxSL58EMr9etTqsy//y1J8ubCKWlb+rlPpSzZfu5cAXX9xKSeM7O4BwbmetMke+o4HKdQGeXgiy9U+t9ZsyT165eWeszOhj17wOnIKJedzHAXUlT4C2XhOVZx0S8UFJTeZ7FQqh0z5wZnz4IhJIbn3ga1xEPJUk94NaV3m3XG//sjK8vLgfxZsn5L1Kxgu4dZ55X5niKlnHGFbb+Asnx0llIe8t0hhPgQRWz9wc9d8pvDcz5+1R9QAT++5X41pPR39wOeH1j/75M/iqR5rJ0DUf3RKCGva1E+mu1QxFZSPovUH4FruWaVjS0ogvebXWMTV/tM7ZFSdvyN+3A5eCLGK+prRdvLQSgd/sdRwXI9ylqrhRB3+ql2AaguhAj6DcjtVT0/19jfq4KUcrsQYjcwRgjxBCqWoTrwmpTymq3BfxSuH2LrZxVDmhmThOZJzkCJH4WhfmM9yx/Vq9+BEIJOnbawf/8XHDgQRfv2d3kzh0kp2bhxEy6Xga6HUqPGREBZMhs2/Iy0tDTy8wfSuHHjUgoMa9bMASAhYSCxsU8gpcqKpQhzyfKsB56AL882T7mAgJ3AKWpETyC2Vg8sFh3D47si1TmGhE4GjhBVfQz16t+DJgR9+23m1VeHkbQviLgGM9A1lYnMFmADKfllv8pi2b//yzRs1NPbj4GD/szHs2ezanUC+fmLufHG/6Ne3G0EBgXSpctg9iblYrWqFOSjb/+U+KZtvXV79voLhw59xJkzkxk2fDhuUz9Y1y0I4SHWulfA3+lygpQ8OnkHixYNZuOmtowc+S+2bWtK69atufmWrXiGSErJ0GGLmDv3XtIzRtGi5fNeCTY1nh7ibC5/mwk6YmNfBl6hceP/0LbtDeZ10FU2MLeB9LRQ9tVrHtizlA7CvCaSzMxoWrZswW23bTaJmyonDcmxlAQgmebNl9Oxk1pN1HXTCivVZMltuFSyDaB69SnAN2Rn/5X27Z9AYt4HSFJTj5OT04+4uNp077Eem82KxMBquwGBoEOnDWCWz8xsRYuW8Qy/cR5WqwV7sR3domG43Rw9ejuQSnzDj+jQLgGJxOV0AN0IDelIq+YzzPTPKNULaRAR8QqwgpbNvyG2TjQWXcPtVlnoDOnGMErSKA8evImvv36Jgwe7EhTY0HtN1DxSEVtDKjWN9q3bALBhwwbG3XdvqSF3uVxs2bzZ88/fW4i9D/CF7wahZMPaoyytHkK6zfzuhfKPvRLEAwf8kFoN5eP338Rh1Ni2F0JESilzy+z3LJHs/gP64jl2PT/7ribrnGcSdLVWe1CqEBdRxNWFsl5tNfd5CO5w4AaU3/eVBsAZ19ifcpBS5gshUoBGQogmUsqjZYr4u2YVjq0QIh5FfMoS218zjgAdhRBhftwR+prfewCklJeEEAeAVkKIqApcYn4veIJFyz2H5vPpVx6vAjRCTYRW+SGJdc39ZbENpaYyFBU4Vxkudz2u9vm5lv5eC2YCs1GW21tRr4LZlda4TnDNOra/LUyrrMqe4LW2eUif105g+rV6Vnl9l0Y9RPKuu9Rk5Y03/s25c+e8KWILCwuZPn16+SMLwb333oOUkmeeeVYlgjC35+Ze4LXX3gDgzjvHAqDrOoWFhRw9epR0j5+Ap3uyfGrYskYOTdOQSDRdN32FdZV1qox/kmEYGFLSrXs3mjRpwrat21j0ww84nA6CTOvnd999z5bNm4mPj6dr926KdJifXr17ATDjHfUO79e/P7pFPVd9+vbl0MGDLFu2jKioKFq1aqWOZ34efOhBrFYrU/8xlZTUFJWFymrFYrWg6RoOp5PEzYlKscJQ4yuBHjf0oHF8PMuWLmP2x7NxOp3cedddJiGSXrvn8BHDadSoER/Pns3qNUqGzLNfQ6lj7Ni2naKCQnXxjZKbQAAWTSfAFoBV1z3mRHQEjzz8CNWqVWPuV3PRhWZ+BBoCIUFIgSZBQ6BJQf24OFJSUsjKzFLbUGVeefkVkg8pFziX04VVt2KzBOB2gtPuxnBrGG4LFhGM1RKKzRKKpinXyw9nfcqZzHyCA6IJtFZHyGo8N+3fGIbB+PETCQmqjZCRCKqja1aE0NGIQRe1EMRSv34DUlPSOX8ugJDgpoSGNCUstDkz3vmew4dVAg9bUH0Cg5qjaY0ICFTua5oeQlSNroSFd8IW2I6g0I5Ui+iK1aJW4AOC2hIW3IWgwATCQntgs3QkNLgHMdUHEhp0A+FhfRlz+9PUr1+flSu3892C5Qgp1Md0DTp16pT3nh45bAQR4RHM/2Y+23dsL3XvvjtjBqnHjzNwwAD4Fb5eV4h7hRBlfRKfQ1my5kkzalhK+TNK4muUEGKiv4aEEG1Ma4gHaUATIURtnzICteza8jc7g2uAaTX5CuU68bzvPiFEY5RFx4mKnv694fG9nWAqXHj6UQ8VOX6l8KRnj7vaDpg+rhtRk5HbUUF4nmt/HHUtp6D8kq9GCuoc/gnHteJT1M/YG0IIL9ERQtQAnvEp40EyirDf7HtvCiGCqHiCZq4PXf04mginzHUTQnRG+XTmUZrIvYnyO//UVBehTL1IIcTvYc3djHIN6ieEGFZm30NchX8tJbJbPctck1AUkfNnAHzX/P638KOxW2bb5a7H1T4/19Lfa8Fc1PX+G8qAsFqWKItc17guLLbC+z+8FjZ8yK30Wev1WPF8LYAAu3crv3KbDW69FRYuPE5CQjy9e6sl182blX9t9epgt6d7ywP07Alt2sDSpcvo2LEGXbsqn9gNGyA3F8aOhaCgG9ltzqP37oUnn4R27eDtt6/sHD0Zcw8njyChS3ZJNjUUWS5xSzAX130sv7M+nMnNN9/KhPETGD5iBE2aNOHIkSMsX7aM0NBQPvzoQ3S99GSwd+/eaJpGTk4OTZs2JaZmjGltddOzl5rknj17lltuuaVc3ebNm/P+zA+Y/MijdO7YiYEDBxIfH4/T5SQjPYMtW7dQo3oNdu3ZbY65zUvqx44dy0svvsgbr7+BxWLhjjvuKEfaLRYLc+Z+xa0338Lto2+ja9eutG3XlpCQENJPnmT37t0cP55GSspRgoNLxx4ZhuEdNw8Rt1gsGG4w3Ia3fe+9IUvuEUO6Sk2CJj86mSlPPkH37t0YOXIkVquVbdu3k5yczPBhw1i2fDk2q1XpJksXFl1HalrpCYtU/fCsIHTt1o1uPbpz2+jRhIVV46effmLfL/vo0KEDf3p0sulWYVFSduY19oy/EILJkyczZcoUevfqzS233IIQgh07dqg+DR/OsmXLcBhuitxO9ICSCZEELhardLsWmxUpBA7DjWEOvaGpNLkFhYWEhoSgmaZxh8PhtbxbLRbmzvmKG0fexH3j7mP2x7Pp2qULxXY7ycnJrFu3juwTajIXGhrK6y++xOQ/P8HAwYMZPXo0dePqsWf3btasXkNsbCyz3v+A+ObNLvdo/FosBzabwQ6ZKAtOT9SP/9Nlyt6FIjWfCCEeB7ajlhTrAm2B1qhgH0/g11uoQIk9QojvUETxBhSpXQLc9Lud1ZXhaZQF+k9CiATU8rpHxzYMpTBx/PfuhLlsuRElE7VDCLEWtRR8E8r/74qIoWkB3A70EkJ8BRxBWbsWSyn3XUETP6GsaDGU96H9iRLpt6vxr/0JGCuEWALsQlmDN0opN15FG774F2pZ92YgSQixDEW2bzf7/bqU0hsQZQYOvoMivXuEyvBpQfmJn8Z/pritKGv+E0KIKEr8Td+V5XVJ/WEj8IAQoiuKQHp0bDVgkjSlvsz+fSqE6ISSoUsRQqxEBVNGAQ1R98RnKM3V3wxmgNgDqOCtxebzmYJ6jgehfheGUbLMX1lbWUKI+cBYlMTbKhS5H4Ra9dmLWgHyrbNKCPEC6rocEkJ4dGxron5/tqF8XUGtrpxC3UcO1PhI4Esp5YmrfX6upb/XAilloRDiP6hJMihN4/8JXB8WWwFOpwt0TVlidRXgous6mq4yjFksFoTLhYbAcLnQpUC6DUWqjNL37mOPweOPq2CmH3+EtWshIQH+9S9FcsvCalX77jd/9hYuhJUroU4d+L//g0mTfrtT3bEDoqvHMHfOV1iEhkVoCCnRJF5ypIG5XVkvu3TuzIZ16xlz+xh27tjBuzNm8PPOndx+2+1sWL+BbgldsaB5P1s2JdKwfgOio1Wgd5/evdExrZUSunXuQkiIStLTp1dvhFuW+9x5+x1s2riJMWPGcODAAT766CO+mf81qamp3HLzLbz15lsIA4QBuAyEW53D3WPvRNM0nE4nAwcOpGZMDYQ0vB8NiQ60adWSrVs38+STT3Dx4kXmfDmH2R/NZu/evbRt25bZsz8iKioKQ5ZYe6HELcWzTWiaCizUBAcOHiAsLIwhQ4cgBaAJ0IS6n3y+pVAxVhMfuJ+ZM2dSMzaWufPm8fU331CnTh3Wr1tHu3bqd8FtWuB9yayHHHv+rdxd1N+vvfIqf3vqKTZu3MgHMz8g52wOkx+dzPKlahLimaRJt+ElpZ7rjCF58P4H+HDWLGrWrMmcOXP4dsG31K1Tlw3r1tPe7JMFgU3o6FKgS7MNIFC3YhM6miERbgPdtE6Duk4uw40twIbT7cIw3QqkAAOpxktAp86d2L5tGw899BAnT57knRkzmDt3LnkXLvDcs9Nwa+DWBW6bzuCBg0hcu4FhQ4awevVq3n7zLQ4nH+bBBx9k67at1I//rVbEKsVbqJdqe1QwRXOULFGPssoEUsoMoBNK89SNskA9jlq2PIkKlPjFp/yHKBmyTFTgxN2ol1dX/pgl/kphLv12R0lbVQf+jCJIO4ChUsoP/sDu3IxKKFEXeAwVvPU34O9X2c69qGQYQ1GW8RdQSgZXAl/CWtYq69nnQhG3K8UUYB4qXfwzZn+uNomIF6alfRDqHgQ1VuNQMmB3SSn9jdc0YCqKtDyEcqn4DpXkxOnnGLkoIf2DqPv3BfNzpYojx1HPRC6KkI5B3e/DZZnkDObxJqNI2FaUj/OfUUkWwlF6qFdo/rk6SKW33Ael1jAC9SwHoVw6Us1iF/3V9YP7UcGGQSjd3SHAj6hx8DsZkFI+ax53C2pC9Vez3iF83KPM1YRbUQoOY1CJP15AEX8Prvb5uer+XiM8qweZqKQZ/xMQFccD/HFo1a6N3J6YiNUlsetg0TQC8h1knEgnpmVjjp05hf3cBTq1bMtF4aRIGIRJCxa3xKFJAoOC2Lw5EICEznkEBgVRXFSE0+kkICAAoakMT4WFhQQGBFBQUEBYWBhOpxNDSoqKikg5doz4+HjCw8Nxud1gWiCFpjH16ad5+umnCQwMVBnLLBYCAwNxOp3Y7XZCQ0NxOBwEBQXhcrk4evQou3btYsCAAURHR1NcXIzb7WbfvmhWrIDXXoNZMz/gnnvuvuIxMgzhd7uydpfet2nTJoaPGM7Up6fyj39MvdbLQokZ/Sprlcu0AXPmfMXDjzzKrJkfcHdl513ZISu5VS9cyKN+/QY89thjvPjii376VEHD8jKHvMzz4Wn3oUmT+GruVxzcf4D6KhKtwmOWdVEpW67CvqJIqL9yldW5kjKV1jct31aLhXNnzxIWEoqmaZzJzKJuXJzpc61haKKkf0JNOmwW6y4p5dX4WVahClWowq+CEGIzagIaLqUsuFz5KviHUAk4PkPpCz9zmeLXDa4LVwTwWMEAaZREYftYyDzBY96/zSVgl+HmUn6J/3RhQSHLli7leFoaEydOZPv27axevZoe3XsQFBRI2okThIeHExgYSHp6OlarlYEDB1KrVi1yc3P5cNYsWrduTe++fVm9ahWLFi2idatWRERE4nI5MQyJYbhZvHgxJ0+e5NZbb2Xt2rWMHDmSvXv3kpuby/fff09OTg4R4eH06dsXm81GgBly3rMn3Hb7dmrWrIlbXnaVxDM6FZMkn/+XbJPe78qOUMoF5LdGmf5KnyXzyqhipQSrkl1bt23DarXy+JTHTYv/FXbzcgVkJWQQSs5TM791DXSt0naFn73+Jij+oJUh2ldKbn+rCWwpv3a14TdptwpVqEIVrgZC6ejapJQXymwfj7JcLq8itdcO09/3z6hVjv8ZNwS4johtKUiJjwsj4PE/FaVIr0XXCdR0r88lwMrly0lNTWXEiBEc/GU/qUePUSe2Fr8kJZGRkcGwYcNo3rw5Tz31FGPHjmXgwIGsWbMGi8VCXl4eB/cfwO10kXEynUuXLhERVo3o6jXQNQ2X28Ci62zcspnDyclkZWWxft06kpOTGTFiBGtWryYhIYGuXbpQUFBA165dcdjt6JqG03SXCA2FJk2b+pzbFaIyvleWXHj+bU4GKsLljn/NnKVyVndtZFqWEHZ/GD5iOOdyKw7KrYjY/Sq6p2ZipVqS3v8qJ5NlCam/CUqFkLKUcsfvj9I+7YY0wDAVP4wrnZxVoQpVqMJvijiU3/Fq4BiKz3RA+bheQKUvrsJVQgjRE+Xi0ReVHvw9043rfwbXJ7GFEvLjo46g/m1aIg0Dl1tiWDRvsBDAxo0beenll1mxchWvvPoKWWeyyc+/SFBgEA0aNKBr9x64XC569OjB3XffzfszZ/HFF19wMiODc+fOoWkadWrXpmXz5rz37gxeffVV+vXrh9NuR9d1Bg4ZyuYtW/hm/lw2bNjEvPnfcPHiRQ4cPES9OnVYvORHtmzZyrKlS3j/g5l8Pf9rTpw8yZjbb+f+B2DFCujXL5KZfpbkT506xZtvvsXqVas4fTqTkJAQunXrxt/+/hQdO3QqN0TZ2dlMnz6dlStXkp+fT5MmTZg8eTJxcXHeIfRnHSxByQTCbrfz/vvv8+2CBaSmpmKxWGjdujUPP/wwo0aPKlVr08ZNDB8+nKlTp/KPf/6jXKutWrQG4OCh/QAMHTqcxE0qHuKRhx/lkYdL0t3vP7DPu3QPyge4IhhGJTt9gu/87EJUQhorMcpWDonPfepzMB8FhwqrGkZJCeH1IL6yg5oBcVfifuALj/SdP1yptdcjtWcIFcRX1r+9ClWoQhX+IJxBKYP0QfnVBqCSSHwGvPS/EsF/HWIgyq/7PEpl4bfJiPQH4vohth4+oPlKeOHVevUG3ZiJAgxDlXc6nLi1EotttWrVeO6555g1+2MAmsbH07RxYyxWK5lZWXzx5ZeEBgURFxeH4TZ46u9/J7pGDdq0aoXL5UJKyf4DB1i2ciWTHn4Em0Wnbp06FBUV43K5vLq0//znM2RlZ9OsaVNqxkRz6eJFAho08AaAvfHGvzhw8CA9b+jJ8GHDiIqKKnW6hsuN4Sjx+9+blMSo224nNzeXAf37c+OIEZw7d56ly5YxZPBPfPXFlwweVJIw6fz58wwaNIi0tDS6d+tO927dyDqTxRNPPEH/fkoOURoGmrsSJ1IzAMvhcDDq1ltJ3JxI06ZNefCBBygqLOKHxYsYN24c+/Ym8dyz00rqmeoDGBKc/oiNSYRcat89d95JRLVq/Lh0GSOGD6dtmzbekuEh1bzloHIibtEq2WvKfvlH5a4c12z0FMLLST/58CM++fCjkkbN41YEw5Pswk85f9s8kGZAXOlu/N7uANLk66Zd+RpIdRWqUIUq/JYwg+Qe+G/34/83SCmfQ0km/s/iuiG2nsxRwsfaJYQoJ/nl0URVsk8STVfi9R507tSZeyZMIDQ0lI9nzkTTdWrXqkVoSIgK/pISp8NBtWrVcNjt/LRiBUhJ/fr1OXjoEA67nbj69Rl3//2s3bCB/3z8MYUFhbjdboQQXqtXUXExK5f+SGhoKAcOHEDTNBo2bMjPe5RudFbWGVYvX05OTg5t27VDGgYHj/jo6LoNcKp+u1wuJky8n4KCApZ89z09e5RoS2c+PZX+Q4fwp8cfY9/O3V5f3eemTyctLY1HHprEKy+UBEs9OH4ig0YoWT/pNnA7Li8j+s4775C4OZFBAwYy/8s5ygIu4aknnmTAsKH8+603GdS/P10Tuqium4TccLlweXIFl7qW6ttVrPaNHX0bbqeLH5cuY/jgIdw19o5S5T3lRKV2VSr1jTBVaC97rv5QqcW2Upffyv2BKw3WMutKUaadyzg+u3VRqr9XQzCvmYyacyNp3vue50DXdYSug9tVef0qVKEKVahCFf4gXBfEVpgvTqeQOIQkyJBobtAMkLrAYREQYAUhsLohwGJRMkXCQLNYED7Lod8svA+3G+655yLRtdVSv90Aez7gk6Pj7EVI9XiNCDh2Emwh6nM+H24dBXuTYP/hCdRpUFLvkumKPunhU9jdfbDnQayZQrXAXrL/rruTOX+xM3oAHEguf8661YIeqPRfV/+0huNpaTz+2J/o079vqXJ1G8TxxJQp/H3qVDZt28qQwYNxOp0s+P47wsLC+Oc//olus3oJYeeuXRhz+xjmzpuL0DSwVJJ8Rkp0i4Wv5s1FCMHLL76ILTgIi8WC0+mkZp3a/P1vT/Gnxx/nq6/n06NnT6SU6DZ12wiLjh5gU0oRpuxWKd9Ri44tIACH3YFus5rbNCyBAV6/aE1TriTFxcXoFstlXCcqhqbpuFxudF0RLofDiZQGVqs6rq8fdjlcM9+rvKLbMBT5M1cgnE4nQUFBFBQUYPOMB2WJtZIy85h9y5JepXEsvW263W7vMdxuN5qmlfK/9VhXPWTUs+LgKedJYOJpwy+M8ioOQgh1f3l0gUWJ+7RUhaqsulWoQhWqUIU/HNcHsQU0IXAJofLTm/qomlTR9G5dYDEJmi4FVk0o4XlNWek0rYS8HTyovrt2vbJjnzkD8+bB7t2Qna0SM/jibAWJF1u0qLzdy+03hPpIYPtOlXgkPSODl197rVzZlBTlKnT42BGGDB/KkcPHKCwspEePHoRXjyytHgH06t1LEVtdQ7NWfImFEFy8eJGU1FRq165NizbKN9ZpuLEEKNLdT2WPYm9SEsKiIwDDo7+qaWqbIRC6jk4J6QHAomN3OREWzUu8dasVYdFRAYGKHNldTqyBASrRwq9w2ZTSQOoawmrBc0SXqUNrMYmkn1q/IrC/4kg433HwEEd0DZc0CAoNQUkbVtCjUv63pdu36hbcpiuIzWbD5XJht9uxWCzYbDYvuYXSxFbTNC+5l1J6CbEa89JpoMufjPKr9d2vfG3LBI957osKz6wKVahCFapQhd8X1wWxBZMI+PjXqpfklb8iO3VSih9OZ0cglQEDThIWFuZtu+yxNE3j2LEURo/uz4ULF7jhhh6MGNGKsLAwhBBkZGQwd+48IiP/Spcu07yuCGFhI4BEBg3K9UsE1P7Nfvfruk5y8pfAo6UIC/qH8AAAIABJREFUR26uShW9cOEPlZ7jpUuXkFKSl6f0l2NiYkpZ5EARjpgYlXmxsmAhD86dU9n+YmNjcblUZi6Hw4Gu6xiG4W0rLy+vnFXPc2xP5jTPt+/5SilVcg2feh5SFRAQQFFRkbeuy+VC0/zfklcS/W+xWNB1pZLhcrmw2WxYrVZcrj9+qdyTFc2Tkc1ms3knEjVq1MDhqMSCbKIifVtlkXZQWFhIaGio9xw992jZur4SXVarFcMwcDqdpfZdrh+arpW79obH0b0KVahCFapQhesE1w2xLU9cru2FGR4eDkBmZqaX2PqDy+Xigw8+4Pz587z33ruMHz8Ot9uN1WrFarXy6aefMnfuPKxWK8XFxVgsllIE6UrIQFkoMlGSrcpDPKtVqwbA/PlzGT58eAUtlpBUT/ns7GxvW1Ayhp7txhWYPz3E9cyZM17i40lE4XQ6yczMBNS4esiMJwWs0+n0ElcPUTIMg7y8PCIi1HUIDAyksLDQezzDcHvrSylxOBxERERQVFRkWg4rcZ2oBB5C62u99qTb9V2C94drl8wqkcHyu1cIb7pam82G0+kkLCwMu91+2XoVbSsuthMUFERISAiFhYVcunSp1LE8KJ0VDe/fHuuszWYDTC1ol6tUXX/nWfL/ivtYhSpUoQpVqMJ/G9cVsTWkgdTMJU4f2aSrQUJCZ/bs2cPq1WtoaurF+oNhGCQnq0Cv3r0vkJk5E6fT4V3OXbduEQCXLu0kN/czpdBgGDgcpwDIzvavV+xwZFa43zAMLl5Ux8zLW8fp03kIIWjSRFls16yZRefO6X5aLU0iIiLcBAVZSUraRUrKW4SFBZUidKtXq6yH+fk7OHNmZrn6Hkgp0TSNuLjqpKefZufOl6lbNwKbzYZhKOvf0qXKTaJZs0DS02eY9XIAOH58A2fOzDKtrU5AcOLEOfLy8ggN1cjMnOm1WubnJwGQm7uWnJwir4VR1y3k56tlcovFekVk3B80TcPhcAACm82KlIpEe5btLZX5Gl+zmm1lqwqqTWX5Vu4OdruDkJBgLl0qICCgIteI8re9L4f0PBYea7+mCR+VAoFh+FqCy/ZN4nK5fUiwxO020DRTGM4sHhl5I4GBJRJsXpcGn+Axj6UeTQPj8tbnKlShClWoQhX+CFxXxFZ9g+eFXJkgf0V44IH7+fTTz3j99TcYMKA/zZs3L7X/1KlT1K1bF13XiY1VL+olS57BR4iAHTvgm2/U33l5a0hPX+Pd5/HBTU/3n8L5cvvPmzkEcnMXcOrUAkD549auDV9+uZHGjTfSrVv5egcOQOPGEKgyB9O/PyxdCi+9NI3Jk0vKHT4MixQnJz//J9LTfyrfWBkMGgSffALTpr3G9OlgGlTJy4N33lF/9+69k8zMnQBYrRASAitX/sw99/xMZGTJuU8zVcFcrlwyMkrGwGPsTk7+jrS078r1obhY+TgHBEDNmpftchV+RwQGNilFbL1a0iY8pFpoWhWxrUIVqlCFKlxXuG6IraZpGNIwXWs9qQWufrmzefPmvPnmv3niiSfp1asPw4cPJz6+MefPn2fPnj2EhoaybNlShBDcd98NfP/9dqZPF/TuXZeYmGDS0wtJTEynb986rFt3itDQTsTEdDKTA0is1qVAJtHRD/o9vtX6Y4X7DUMSFnYU2EBoaG9iYhTpdrlczJiRy8MPr2Dq1CLat69J8+bVCQy0kJV1if37c8jIyGf9+nuoUSMYgKefLiYpaSHffptPamosHTvWIiengBUrUujVqw7r158kJKQTMTGdKxwr5VogmTJFY9euhWzenM0jj0TRs2c97HYXK1akcv58ERMntqN//65e66PDYefGGzfw9depPPhgAP37N0AIna1bM4iODiYm5iK6rhETcxeappGXd5FevXSCgubx/fcCl6sJ1asHc+mSk88+S2LkyCaMGtWc8eOXkJBQi88/H3nV191jffYESRmGYSolOL0+rpXUvurjKVTuB152tV7XdcaO/YY9e3I4eHDSVR6nBB7XjqCgIDw6BLquLLCyDAkFz2RR4nA4SUrKYfz4JTz6aCcmT04oZfE9f/5HHA5/KwZ4U+iW8t29ijO43iGE+BwYBzSUUqaZ2xoAx4H/SCnHX0ObfYF1wHRTG7IKV4Cqcbu+UHU9/hgIIdIApJQN/rs9+d/HdUNsAVMiSJbwBVPjsyTARXizaQlpIKTw+3YdP34cLVo0Z8aM90hMTGTp0qVUr16dVq1aMW7cfepFDjRtUpM334Qvv4hl8+YcioqKvW1kZYYCEBU1jJjoxwgNDcHucBAYmAxk0rr1bABmzZrJPffeYwY+aQQGHgIyqRf3BsgSwu5BjRrzgA3UiL6T+g3uobiomNOZp+nYMYTt29/g3XffZeXKVSxadBxN06gZW5OOHfvx7DM30r79GJVhS9No0EBn1aqnefnll1mxfAUHDx6iSZMmvPHGW0RFRrF+/T2Ehw+mYcNnMNwqS5TQBJoQuA0DTdPIyMjAMJzEx8fzxBPd2bBhAzt27GDevMNm5rF2PDzpYW4ddStIFZzlcDpITEwkJjqUkTedYOu2rSxcmEJsbCy33TaRqU8/TUKXLgghqBnzIhaLzrq18+jVqyfvvdubWR9+xKJFBykoKEnhHRramdq1xgNLCAhoTFy9N5ASNE0pXrjdLqXAYJIql9OF0ITXV9ftdmPRLRiGG5fLjSENQkNDcTldbN26FcNw06PHDV53F4vFgsvpVGoaApDK79RD8FwuF7pFkXhpKMkwh9PBhQt5RNeooYijEBiGSutcIrtlweV2kZOdQ40aNdAtOgKB23B7s4Xl5S0HcmjU8C21Xd346LqmMnpJyZkzZ6hVq5aPdjNYdB27w07S3n0kJm4m60wWA/r3Z9iwYThM/2bM5CJdu3bl7rvv5uPZHyuJMCnJPnOGrKxUalQvBJYQXm0wjRo96/Ud1zSN4uKjXmLrXUEx4zhFqeR/ytfa8GZVKY3K8qj5EMjKcE1EsgpVuN7xaydLv/LYz6EySvWTUq7/I499tRBCSGCDlLLvNdaPBB4DbgSaAMFANrAVmC2lXP3f7mMVfj9cF8RWAm6VUwwD0wXBkBimf6QuBLrp36ebUvzKCFWxs0KXLl2YM+cL/8eTEptuASlp3RpmzhzAmpXN+fs//88bYONyutizcwdNmzZF13UunM/FZRi89+4MOnTs5I3iz71wgZSUVBo1asSFCxf4fuH3FBcX43A4yco6g2G4qVOnLhaLhZMnTzB02HCyc7K5cCGPlJTjBIcEExwcim6xomka9943jldff52szCysVisXL16kdu1a5Oflk3nqNJFRUSAlmVlZxNWrx4czZwF4ZZ7sdjtnz54l89RpbAEBnEw7Qc2aNbFarV7tUofdQe7Fi6xZtRqbzUZszViOJB/mvnvu5YXpzxMRGUnBpUs4nU4iIiLUoAlw2O2EhISwY9t2+vfrR6NGjahTpw42mw2Hw4GUEqvVyuEDB8k5exabbuVM1hny8/IJD4uga+cu3D7qNs6dP09UVBRJe/fy/fff86fHH6dmdDSX8i4iAV3TvYFlxcX5BAUFYbVq5J4/T3h4OLqm4TYMCosKsNls6LpOgRlEpcoGknU6k7Bq1cg8fZrIyEhcTidWqxWnw4XVYsVwG0hDmhq6DoKDgykqLlIKDmhgCKRbWX0dDhdHjxxj165d3H230kb2kD2rRV0jAJtNcur0adasXs0dd9xBUFAQusWCy20QGBhIWloaA/r157sF31JUWOxVcXA4nTjNALOszCwWLVrEpIcfxm0GdbmcTvQAnaNHUti+bTuDBw0iMzOTo0ePgoTCgkLCQkPJOpPFZjN1sUDgNNUtrFYriZsSqVatGsEhIUCJjm1xcTFWq1UF3pnPh4FECtCEZiZEMbAIDZfbjRQqiYbd6fDq7Xp0eH2fRQlcxlt6EbC3gn0Vbf+jcQpoAeT9tztShSpU4coghOgNfAfUAA6h0u7mowjuCOB2IcQc4AEpZfkMQ1X4n8d1QWxLw9eXDwwM3G4D4XZ7iazHD1eIa19ELi4u9mbxKiwsLFEoCAsjJiaGjIwM9u7dS3R0NJFRUSxatIjOCQnM/fprpJQMGzqMJT8uYdfOnzmdfop//vMf5GRls3v3LmrUiCYqKpKdO3dSUFDIiBEjOHfuLBs3biQgIJDbbruNefPmUadObRo3bkxwcAi1asWydPkKTp48iTF6NHv37uXIkcNEREQyZMhgjhw5yqVLlxgwYADbtm1j3759DB8xgi4JCaW0S7Ozs7lw4QIZGRn8/PPPZGZmMmTIEIYMHUr+RZM4Wiykpqby888/07BhQ86dPcvRo0eJiIhg586d3HLrraxauZLg4GCGDh1KaGioaY0OJDc3l6ysLC+xuvnmmzl37hyJiYk4nU7GjBlDRno6mzZupHXr1litVqKjo7Hb7RTb7Rw+fJjk5GRatW5NcnIyTqeTRQsXMnToUBrFx+N0OtE0jYKCAnbu3MnFixdp0qQJaWlpZGZmEhUVxeDBg9m1axf79u2jV69eREZG8uOPP9KiRQu6devGd99/T4DNRo8ePTh8+LDXFaFDhw4EBgbidDiwWq3k5+ezZs0aYmJiaNGiBevWrUPXddq2bcvOnTvJycmhY8eOREVF8e2333Lp0iXS0tIoLCxk3759dO3albCwMDZs2EBYWBjNmjVj3rx5nD17lj59+tC0aVPsdjsOh4OAgABSUlJo3bo10dHRzJ07l4CAAHr06MGxY8e4dOkSzZs3Z+XKlezevZtevXrRomVLr9pDYVERv+zbR1xcHM1btODo0aPExMSwes0aLuTmcsMNN7B27Vq2bN0CQEFBAQsWLKB58+YkJCSwceNGmjZt6n1eTpw4wbYtW4lv0oSkfUkUFxdTs6ZycdAQpkXWo4BRIiHmcffQRGn5r2vAD1LKz39NA783pJROwE96lSpUoQrXI4QQLYFlQBDwOPCe9PHNEkLUA34A7gEcwP3/jX5W4ffFdUNshRAqna7nZWmmFhVqLdW7/OsJK1PC+lrlfn6VvHjdgBCKDNrtdtNfEYKCg7n1lpt57Y1/8cOixSQkJHD02DHy8/OpV68eX345h25dutKieTOW/LiEzFOZVAsOwV5YxISJE0jat4/5c+aS43ASUyOG4tAidu/8mcTETSQfOcL2n3eScuwYDes3YGD/gaSdSCN5/wGOHkpmx5atBAQGkJmRweaNG2nXrh0rV6/mw48+JDtHKRHUqlWLsNAwOrRvT0Z6Ot27dSM5OZk+/fqiaRoffPABVt1CWloa58+fxzAMxk0Yz9mzZ1myeDE9uvfAYrXy9jvvsHjJYubO+Yq33n6bFatW8sPiRQQGBLBs+XJsVisJCQlkZ2cTFhbmtfxt376dPXv3smLlCrLOnOHlV18htmYs7dq1I75xYxITE8nLzSUgIIAPZ89m5epVvPPmW7z99tv8tG4tx9PSCK9Wjd27drMpMZEv535F65ataNuuHc1atvRKdp3KyODtt9/maMoxTp8+jdPppHmzZrRq2RLD7Wb9+vUUFRURXq0aa35aw/xvvqHXDT3p26cPC777llNmnepRUQwdPIRjR4/SunVrgoOCcLvd2IKCWLxoEatWreJYagpHjh5V0mPh4TRt2pTwsDA6dujIsh9/5PEpU7AXFXHxYh533DmWY8eO4Xa7iYuLo1PHjgzo15+27doRUa0a1UJDiatXj4jwcFxOJxZdxxIcjGEYHPjlF774ag5TnnyCxQt/YMuWLQhg7969vPvB+zz+p8coLirk4KGD9B84AJfLRedOnXh++vM0atSIwoICWrZogZCS9JMnsRcXk3X6NAMGDMCiaSxbvoxvv1OBeQt/WMjCHxZ67/e2rVszaMAAFi1eDMDBgwdZvnw5a/76V/Yf2A9Ay5aBTJwITZq4VFY63eKVeJNS8vHHH/OfL77gyJEjuFwuGjVoyKSHHmLSQw953UJ+a/gu3aLyl78KDARCgf3Ac1LKH/3UCwemA7ehLDdpwEeol1oKV7AUXNGysRCiJvAUcBNQF3ACZ1DLnM9LKVP9tNUeeAm4AbABO4GpUsotlxsDnzZGAlOAlkAUcA44CnwtpfzAp9x6oA8QCDwD3A3UBjKAL4BXpJTlcm0LIZoDTwMDgBjgAvATyrfysJ/ywWZ/7kBZwyTwCzBDSjmvgnMYjFoi7gqEo5aHdwPvSinX+Cn/q8fNbKcL8BegJ+p+OG/29WMp5Tdlyo4B/gS0M495DJgLvFnWwufxi0Rdk+mosagJpAOzgdc9xMrHFQBgnBDC1yVngu9ETwgxBDW2XYAw1LX7HnhJSnmhTB/aAlOB7kAt4KJ5/I3AU1JKp9lPT0ToujKa1Nc0QxVCdALuA/oC9VDL/enAYuBFKWVumfI24GFgPNAQCEBd/yTM6y+EGA98ZlbpYy73e3AlPr4zgBDgVSnlu2V3SinThRA3AgeAiUKIT6WUm8v0sznwN6A/ajzzgMPAXCnlzKvp49XcSz51wlH3/K1AdSAVmIUao3K2PCFEV9TvUU/U78IZFLmfLqU8XabsetRvQwDqWb8baADM+//J/eu6ILbep0oIBKUzHIEoCYiRygfR5TKQSLRK7LWXE57XdZ2iImWhKiosJC4uzluvWZMmBNhsnEg/yYIFCwgODmbc+PGsXbee7OxsXnnhJXb8rBQCunftQv269ZAugxZNmpG0bx9ffTWHcXffS3hIKDmZWTgcdurE1mbN+vVYrVZaNmlGx06dqFevHgf3/UJYSChnc3Lo37cfQoBNtxIaFMLCxYvZmLiJqMhIhgwZQmBAAGvXreP4ceXCMG7cOIQQNG/RgndnvMu48eOYNm0ar7z0MufPn2f06NFMmDiR7Oxsnn3mGQYNHITdbgfTJxTg8y/+w6aNG+nSpSuxsbGsW7eO9RvWU6tWLW666SZia9VCAkVFRfyyfz933n0XhYWFDB48mNtuv53jqcdZsXIFx1KO8cDE+9F1nZtGjGDhwoXExEQD8MPixWxK3MSQQYPpeUNPDh48QOqxY7g8vqFAy5YtESi3k9zz57l3/DiSkpKoV7cuQwYNJiMjg/MXcvl6wQKys3No3bIlPbp3p7i4GHux+n24mJ/PK6+/Rrdu3ejTuw+Hkg95yXPLli0ICgzE7XIRFBJC2vHjPP/iC2ScOkWtWrVo26YN0dHRnD59mt179nDvXXeTkJDAoUOHiIyMZPHSH0k9fpy6derSuFEjIsLDOXvuPN9+9x0pKSm0atWK5s2aERgYSO/evYmtVQu304ndbicgMJCiwkIMw6CoqAiAyIgIdF2ne/fuHDlyBICjx46yZs0aEhISeGDIEE6eOMHCH35g2Ijh/PDd94RXq0Z0TAyJmzaRk52NzWbj3nvvpXr16rgMg1YtWuIc6WTR4sXE1YujW9cuFBUVERwcQtvWrWnRogVz5ym+kZ19hrfeeZv4xvHcdONNuFwuFi/5gb/8BTp0yKJGDV2RW03D5XYyetQoVq1eTXx8PGPvuAOb1cbadWt5/Mkn2LZjO1989vnlHvNfi/rADtSP/JeoH/A7gEVCiIFSynWegkKIQGAt0BHYg1qKDAf+CfT6NZ0wydxmoDGwGliC+gmrD9wMfGv20RedUS/KrcDHQBwwGvhJCNHeH2n0c9yHgA+BLPOYZ1Hksy0wAfjAT7VvgASzT06zf88BnYUQI8tYsoaiiJPVbP8YirSPAkYIIfpJKXf7lI9AjXEHFDH9FCW2PQSYK4RoJaX8vzLnMB14FriEmmCkowh3D5QFrSyx/dXjZh73QWAmyp6xGDUZiDHbf9QcJ0/Zl1Ek8SyKgFwChgEvA0OEEINMS74vrMAq81yWAy7gFtQkLBBFeAHWAxEowppkjoEHXvcbIcSzZp3zwI8o8tcW+CswXAjRXUp50SzbFtiOmlQsRk3EqgHx5rn9H+rav232qQ9qkph2JWN3GTyIIl8bUNdORz1zfwaGCSG6Sil9EtnzOXAnakL6BVCEGrOewFCzjb3muU8DTph1PFhfWWeEEA1RkzI78HpF5aSUmUKIj1Fk8CHU8+xpYwSwAEX8VgDzUNesHepenHmlfbzGe8lmjkMEMN/892jgHaAZMNm3sBBiAmoCZUdd/3TUJPMB4CYhRDcp5Uk/w/Ad6rdhOeo+zK5ovP4XcV0Q29IQJd9CRXwb0kzdKSWG241bujGQaGhgVEBuTR/BiqDrOi5vilGIjo4uta9v3z6s+WktARYLn3zyCVaLhdkfzyYsLIyBA/qze7f6jT9w8CB1atchcctm+vXty4o1q1i/aSMN4xpQbC+mQ4cOdOnWlXfff49Tp0/R+4aehIaFUrNmDAX5+RQ77ERERnCp4BL7D+zHZrNx+OhRTpzOYGPiJjq278CjkyaRuHUrPXv2pF3bdnw1dy7btm1j/4H9dOvWjbPnzjHm9ttZtWolX82dy4JvF9CxQ0cSt2zmwMEDdOrYkX9M/QcXLlxA0zSqVauGw6kMNj///DN3jLmDadOm8dlnn3Hb6NE8PXUqKakp/Lj0R2699VbcZnDR2LF3UFxczOBBg+jYvgNCCO695x769+vH8y++wNz58/jbX5/izTff5Pjx47Rp1w6Ardu28vCDDzL2jrHs2rWLuLp1SUpKonHjxoBaNg8JDiY/Lw+LxcLjT0whKSmJW0aOpG3rNjRu3JidO3dSLTycxT8uYf3GDTSsXx+73U5eXh61a9cGIGlfEkMGDqJd27ZERUXRIC6OZk2bMvuTT1i3YSMPP/wI0jBw2u38+803yTh1ilYtW3Lf3fdw6dIlUlNTGfPY46SnpzNw8GC2JCbSrl07pj33HKnHj/PQgw8ysP8ATqSlYbFYCA8P57sfFrJ02TJWrFhBfOPGnD17lgYNGlBUUIDFYiEwKAiLrpN05IipD6zu19dff51BgwaRk5PjnWAtX7GCm2+8iS/nzMHpcBAZEcH7Mz/gsSlTmDP3K9q3acv8uXM5ffo0o0aN4osvvmDDhg0cS0lh8qOP0rRJExI6d2bR4sVERUVis1h57pVpvPPOO1itVt6b8S6dOnZi4eJFZJw6xf3jJ9CqZUt69+lD23btmP58O156OZlPPl5CQueJuNwqE91rr73GqtWrefSRR5j27DSiIiJwOp1kZ51h+ssv8dnnn3HbqFHcdPMtV/Og32JaRP1hvpSyrAtAX5R11kMSEELMRb18nkJFbXvwFOoFOx+4y8di9hKKhP0aDECR2rellE/67jAtUgF+6oygvEVuEsoKMwVFQC6HSail03ZSylIvISFEjQrqtABaeSxnQoh/osbpRhSR/NLcHol6gRcCvaWUB33aboUiTh+jxtSDt1Gk9u9Sytd9ygeiXpT/EEJ8K6Xca24fjCK1x4FeUspTZc6hrp/+/+pxM5emP0BZMXtJKQ9UdFwhRHcUEUkHukgps8ztU4GFqHF7CkVMfFEbRVQHSSmLzDrTgSPAk0KIl6WUTinletNyOgXY68/6KITohyJNW4HhvtZZH0vhdMBz741DkedbpJSLyrQVibqmSCnfNicjfYDPf6PgsVeAybJMfnAhxP2o++VR4DVzWzgwFtgFdPVTp7rZz73AXiHENCDtKlUYeprfu8pai/1gNepa3uDThxooAmoB+kspN5TpY90r7eOvuJdqoSbGrT0WXfM4O4FHhRBfSyk3mtuboia7aUAf32dKCNHfPMd3UJOPsqhvHuNspaP0P4rrhtgKIUzlec+Gkj891lqEUNqZwkBDmMT12rxsi4uLCQxQorDx8Y2Jb9zZPJbBTTfdROMmTVi5ajUNGjWmeatWHE1OZt36Ddw/YQKxtWsTFKpkt0becjNjx9xhyktp/JJ8kPfef59zF3N58fkXCAsLw2azUVCsLHXPPvcc7du0ISgoCKfDyYBBA9F1nY4uF23atSW+eXMsQlCvYQNqxsSwdPESbIEB9Orbl+DgYCwWC23atGHkLTezYcNGRo8arSyRbjf//te/2ZuUxDcLFtChQweeeeYZalSvwWeffobL5SIwMNCbkjcyQonPTpwwgXH3jaNO3bo89NBDGIbBx7NnM2DQQA4dSiYqKoqioiKWL19O6vHjTJo0iaGDh1C7dm3y8/OpU6cOPXr0IPdCLtOee464+nG0atmSI4cPk3FaPWf3T5jIX/78ZzRNo6ioiAYNGiCl5Ny5c7z46iu0aduGgIAApJRknc5k4Q8/0LpVKx57ZDLNW7Tg008+oX69OAYMGEC/Pn0ZNHwolwoK6NI5gbp16zJn7lcAdOmcwIy33uaXX36hV69enD17Fk3T+Ow//+HEiRPkX8gjMDAQu93OvPnzCQgIYNLEBxhzxxgy0jM4ffo0LVu2pEtCFywWnf59+yGl5Muv5lA9qjovTpvO+dxczmXnULt2beo3aMCp9AyWLV9O8tEjYEhG3ngTwpC4HE4MlxuHIx9d16lVM5YO7dsTHV2DlNQUHnrgQWrXrs2+ffu8UVZdu3ThuWeepfhSAdVr1ODihTzG3X0vT/7lL+zbt48Hxk0gMTGRRyY9TL169bAXFbNx40buuusurLYAqoWGUbduPUAFtY257XZqRsfQuWMnzpw5w4QJE8jJVULK8Y0ac/eddxEZFUnjJk1wO53cNDKWV19LZteuw7hN4WGn3cHMmTOJjY3ljdffoNC0PINSyfj3G//i8/98ztz586+W2N5sfvxhL+V9W08AL/pukFKuFEKcRC3X+mIcalSn+lolzWXIt8u2c40oKrvBXN4vt8QPbPbjT/wp8B7l+14ZXCjrW9njVvRyesH3BS+lLDZfrOuAiZjEFrWcHAH8yZfUmnUOCCFmA08IIVpKKQ+aJOQe4GdfUutzjL+jLLd3UWKJfMz8/ktZUmvWy/DT/99i3B5BvedeKEtq/Rx3ovn9ooeImGVcQoi/AMNRlrCyZATgcQ+pNetkCyEWoca2GcqVaTxrAAAgAElEQVRKeSV43Px+sKzLgZTycyHEFNTy8ZNl6vm7Hy9H7n4VpJQnKtj1KfDm/2PvvMOrqrL+/1nn3pseUiB0SOi9iZWOFRBFGXUEFMugYy+jjqKiojP2Poo/ZaSJjbEgKB2kl9B7TSEJ6e2m57b9+2Ofe3MTbiAU5/Wdd9bz5Dk35+yz9zp777PP2qt8F3oOvOEtjv6kVxMgrlQpVXAeWGphHgNjFtYmb5mWfufuQGu7P6wr1EK9c7Q+Ope5NNnfTUEpVSgir6A3NXehXUxAz20b8Gjdd0optUpEFqC1tpF1NOcAU/5ThVr4HQm2YLoP1BFUDXSgimEYYLFgVVasossGG9bacEOmcCwmdFMNzJbW/ELNISwsjJJSvWn0KOWLqjfEIComhvy8XJo3b8bmxETsRUXM/uILPB4Pd95xB+V+wWZiWDCsVoLM1KmTJt3Dx9OmsW//fmKbNMFms5GVlcXyFSvo0qULgwcNori4GAwDa3CQzyUgODSEPv37U1ZayuGUZIqKiujQoQP/+GSaXxpb7ZJhsVoJDQ3lwMEDxMTEYLFYtKAeEsIXc+YwZOhQnpk8GRFhzqzZ9OjZk+KiIkJDQ33R8F5c1ysuv4Ju3btTVlpKeHg4jaKiiIyMpE2bNhw/fpzMrExat2rNzl06Y1puTg47d+1i2/ZtGBaLKQAJyclJAGRmZtK1U2ciIiKIjokFoHevXrRq2waXw0mbhATKy8oIDg72peGNjorWeLNuJ3v278btdhMcHMzq9atZunIJGzdsYNCgQfyw8HuqTAzXsooSOndpgcJJt27ajeSCft1p2z6aNm0uweEsI6FdBG63m6ZNG1NaVkx4owrcLjspx49iL7Fz0YW9ufNPV+OszqFLt3A6d22Px1OBy+nAFhxEWHgZGSdyKSwspEOHtrz9/nO+sUhJ386GRD1fQ0OD2bdvG8GhR2nfUVFStsHMAKYwBJRhwWKrpHuvYET0PLt0gAW35wRt2jcluklzPvwEevVqTPOWx3B7jpKZ5U3frGjSJBK7PYcOndPo0qMDHvd2Cos307OPQa9+XcCzlbKyTfTtL6Qe3wNAfIKFfhdnU171LVde7cIa1BjFNpKPHwRgyNCWdOi8G7fbSUHBcnPzmEFMDNjtZb5UyQePHKGgoICOHTvy6muvUV1dRXBQMMp0q4iMiiI0NJRDh844xuquAELLqWhXXS2PSelo30IARKQRWqOarkw82jq0/kyYDEBr0GgJz4jIBWhftg2n4A9gW90Tpt9jDhDTwHa/BN4B9ovItyYfG5Q3DWD9vNaldWgBuZ/fOW//9TH9QOuSN4VjN+AA2oRpAVQ95W1+5b10KXr1XXIKfuvS+eg3b7qbxQ0o69VIrwrQ7hERyQDaiUh0HaHTrpQ6FqA+r/DUUF5Bj4UTHbl/c4DrQUCciDQ2hcFv0Rrg+SLyHdqMvUEplXQGbZ4ViYgNbUm4Fe1jHIV/7ndo5f2hlCoRkYVov/RdIvI9ei5uUUpVcH7Ipws7y7JnMldOR2c7l1xAIP/x1eYx0Hs7VEQuCnBPU/R72hmtKfenxFOz/7+bfieCrYBbJ2cQAzxuBW4PFkNQonAqt35bBBxuFwQbIILD7cLj1rikSilsVpv+2EZGUlZWpqGbpEYFrEyNsFIK5XGDRb+DZeWbycydAoDLbefAofswbClMnNiWN9/cyjf/Gs/M2Zvo3j2WyOjPyMhUFBVrRURu3gxS01aZuJ8KMeDii2NJTNzDug230LJlCHPmHKO6uprrrrOw/+BYvMFvSilTFvcgosy0shZ27tIbqaSkJF59LdCGTlNxcRL7DgxDKY9fnR7at/ewZw+0axdE85YvkLj1RUS8wP26bGGRTv1bXPJnErfafPx46wkP15vMXbsHkp1j4chR/e79OH8+P86ffzIzJh04+Dz9L7TQM85G4gy96ayofoSNmx6txSMosrP1mpKT9wXbdmnlUaL5+m3fsYPtO2qsxus31X4PM7OWkbhTWxEPHtXnKh2z2Zw4+ySe3G6orIRtO/X3ee9efT4kdA/bd/Ws91n8yyYlpfHm2zPrLVdSksaeA1ecsi6AClOvsu9QTRKKVNMDyulazKFjJ6+pSkFVNRxLufuka3Up29QNlJZt4VjSlpOvm2KQ27OO5NR1J123WMDtUViDtGxSZNfjfuzYMf7+6t/rbbesrEx/KczPhASGmD4XKq7nvIvaH9NG5jGnnvL1nW8QmR/oS9Hm4OvRWimAfBGZhtbQ1NWqnor3BkXdKaXeFZF8tHn3EeAxtGC5Bh0gdJIQSIBnVUq5RaQA/dHzUmPzGDjrTA1F1Cl/kfl3uvKgNcJF/lrNBtA595vZLujNyOkoyjxm1XM9C+3nG1WHt1PxCQ3nFXTfWqkJMquPIoACpVSiiAxG+4/fBNwOICKH0cFDAYP4zhN9izZzJ6Ph+7LRGlnQ87OuW84fgafRmnyvS1GVKZA/qZQ6p3eTmnFr24CyXhcU/7E+k7lyOjrbuZRfzwbZq/WN8jvnfQ+fOg0vEQHOZQc49x9DvxPB9vQUKBBMxMAw9DW32+37q66u1nBFHo/vPv/7RcQ0p+qvcGXlfiortZXK7S4nP38GkZEweLBOKfvSSyvJy4MJEyooKJhr3qPrKi9PpLCwttB13XWwZQt8+eUy7r0Xvv8egoJgyJAD2O21LH0ByVQGM3gwvPzyqUo6KC/fWuvMl1/Cnj0QFQXJydXMmHGA2247+U5TUUxOTjrNm598vcA0DAUH5+J0ggkawd/+BgMHnlzer2bAjcfjb5F1BsLxr0M69UZEBICHm282ePBBGzVQU4b5Wx/9NyyG4QZKMYxQbLZIAJTSyR20B4teL4OCWgIGsbFOIJPCwmCCg1v70DG8PNTUbxAbWwUkMWxYFK+9Fq+TOphl/XkSqXuv/x8mL4LVugMoJirqKr9nLgISCQnpRExMl5Oe02JZCuhkIUp5E5ZY/Nqp4d/hqAC+JySkI3FxQ3x1eHmNjc0CFhARcSHNm19inq9py2r9HJGaZSEqSq+j14+5nh++/4GC/AKio6JwVldTXl5OXJM4PG43GL+bPGQl5rG+xMznnLDZNEn+SfQAdEdHTz+I9iE10EgE552UUnOAOaav5AC0UHE3sFREutX1vUU/a63AERGxoD+IJX6nvTi9fZRSexrAirf8e0qpvzSQ/WKgsYiEnqFwe67kFRpacXroNu9zNUcjZ9SlFnXK/RZkBwylVGxDb1BKbQJGi0gw0B8diPUwOogvTwVAmzhXEpEL0fNvBdoX2Ol3zUAHWtXlsxIdvPiSaNitIWiEhNvQkfnnFNhJjTWmfwBNaF260jz6IyL4z5W958jL2c6lJiJiCSDcNg9Q3vs7SpnBhA0lfxet/0T6XyHY+qfWrfv59BdcvVirFouFsLAwXC4X9ZGIEBFxCa1bv0KNcPAsFksj2rZ9HovFisPhYuTIb5k/fzthYUHceefLhIeHIiJERf0CLKVx49tISBiAVzgAIT5e8cknk1m+3MU119xNevr73HTTIPr0ueckQcI7vZQysJhZrBISXERF3c3hw0F06DADwzDMTFwGbrcHi8WGx6N8wUhaeDPYuvUAs2Y9TseOLfnhhw8YO/YxZs06wbXXvs/gwRfhdLoIDg7F4XASHf0K8AvZ2fcxfvw9fgKTwfHjJ8jLG03bti247LLlgDBy5DLmzXuU7OxJ9O79DCIGTqeToKBgM52rzsQlYpiaaIPFi98C3qVr1wVcdNEgKiurCAkJ80Xqp6dnAN2Ji7uNCy74GMMwiI/P4/nnO5KU1JcLLliNxWIhODgYu137x3qhp8QP9aKsbC0wiri4h+nffypOp7OWT3FQkLaI9umjNxU9e7qJjo4nObmauLgltGjhXWNOpo4dq4iO7sjhw6F07LiSyMhIX6YuwOdvGnjjJb6kGVarftVCQ68B1tO1a02cR27uWmAETZrcQpcuz59Up9Xa1eRljil86mxh3g2ay+UiODjYxOtNB74nLOwi4uM/wDAMnTnNTNaQnr4WWEB09DW0azfFnHs1/Wm1/lDrGbp06UJ0dDSJWxJxOp01LvDe/j83LNvzTqZGNRlIEJGEAO4IgwLcdrZtKTRs0H4RmY8WIm/gNxJs/dotRrtALDKFiLvRQsH3dYoOpcaP1kuD0ev+Tr9zm9GR14OBhgi2iWjTz5kIIpvRATMj0MEz/y7ajEY/GMnpBdudaBPyMOoIIyLSEa3lSzmNwHQ68gos9WlxN6NRKHoE8gk+FZl+mRuBjSJyFI08MIYatInTtX0m1NE8LghgobgYjSN7Kl7TgS9F5Gv0uAzyc68APb/OiE+lVLKI/AoMR2sxnwtUTjRc3yTz38/8Lm1Ga71H0jCXmVPxeLZzyYretNY1pw3zq9ef3/7o9/CXBvD7f4Z+94Jt7ZS6+ozvmniFQw8HDlzqK6NN+/UjIpyKPJ4KcnL+6fPTvfNON5de2pLoaAvl5TPxZoItL9c23ZKSFWRne7WmXiFTGD3a4NNPS3jqqY8AuPrqNDIz63crUH6+wQBjx4Ywc2YBjz56J4880pSQkNrPk5fnpLTUTfv2ISYfbu69NxXD8DBlikF5+WReeEGYNMnDffc9zuzZ8URHW31tlJZqC8knn0zn4ouX0aKFzXx+xXPPZeLxeLj66iqOHtUBlR07Klq1sjF9+ue0a7eYAQMiUcpjCt36ufftq6RTp2BCQrQ/cEGBdqlITn6QmJhwU/CtGbvMTK3VLSxcwIED2/Bq0K++OoIlS3bwxBPtuP32xthstYWnjAwHhgEtW2o/4ZQU7aJVUPA5u3cvqNUOgMOhofz27u3vOzdmjMHs2ZXcdVdf/v73lgQF1fSv06koK3MTE6P768YbLcycmcW993bikUfizLHw+m0L+fkuSkvdtGtX1/Lmn2xEM1ReruMtdu+uCTBPStKTKjv7/7FrV13ZpIb/PXv6m3XVzBfwnztQUaFdeg4enM++fTt9/eCFiD527NRtVVdrK1xFxSHCwrpitVq5/4H7ee3V13jsscd49pnJNGrUyIdvi8dDVlYWRSV2uvfocVJ9/0M0B60Zek1E/FER2qBNpGdNItITKAsgMHs1wefLX7BuuyOAFUqpurt1r0tBoHaniMjPqgYVIQQdyQ41OJze388BL4rIVqVULROUKTwPUWYkvRkY9SVwu4hMQePiuurc0wHwKKVSzFP/QAu274hIYt1gFxFpFSio7DzQJ2js1CkisrRucJyItPYLCpqBBux/XkQWeP2XTS3322iNxOfnyE8RemGoz1z+HhoNYrqI3KROxiENB3oppTab/w8G9iil6mr+As1Hr9DYEFP96SjVPA5Dj62Xv6bAx3ULi0gc0F4pVdc/KhyN0+uiduBlARob90zpUbTA97SIZCilPqnDRys0akcsMFPVxrCdjba63C8i3ysTfcDvXv+5cjoez2UuvSYiV6gaVIRYNGwb1H5vP0LDlb0nIkeVUkfq8BuERqA42efsP5z+1wi2BNAOeTweX8KG6uojgW4/Y1LKVauuqCi45BL9u6qqppxXGex0ZlNVdbK7ytVXw4wZkJfnon176NQprdb9p6Px4+HwYfjxRzvr1tnp1w/i4qCoCE6cgH374E9/AhPpilde0f6VDz8Mbdsep6oK2rSB++6DDz908corSfzdz0XS64rQo4ebiROTGT4cwsNh61ZISoLOneHmmwuoqqoJVp06Ff76V3jiiRP06AEdO0JICOTmal4zM7XbRWxs7T5yONJ9rhv+VF3t5aWEqqoaS8pDD0FaGkyfXsDixQX07KnrzM/X5w8dgilTatpxOLztFVBZeXJwrVcrXlVVA3s5YYL2n12/vpxbbjnKpZdCWJh+lm3bdL+NGFF3LIpZt6643rE4heLXR6YylqqqGuWRP//+/X0y/6cP0DIM6NYNdu+u5PnnD9GmjT43YAB06NDwvvLH73/22efYs2cvn376KQsWLGD4sOE0a9qUrOwsTmScYMOmjbwy9eUzFWxPBfeVeoaBZXXpTbTm9Fagi4gsQ/um3YKOKL6B02b8rZeuBN4VkY1oTVMuWvsyxqzzrXPg+1T0DdofcT1aqBC0puYidGBIIHPzQbQ22R/HtgNau+PT5CqlCkTkJrQmdbOIrERroj1oIegytPtCiF/dD6HxMl9GC7jr0T69LdFBYxehMUtTzDaWiY7sngIcNDXc6WgBbBBaGLnzrHunHlIaxeEBNETYTtFIBUfN57kQnWp1uFl2o4i8iTaj7zP7rRytweuJNnWf0/gqpcpEZAsw2NwcHMHE11VK7VFKrRSRZ9AbkKMisgjdhxFoiKahJh/m6sQTwNWigfeT0VipPUyei6itkfwVPaavmRu0IpOns0EJ2Yo2448134X16LEciU5mkFmnfCv03DqIhtxLR/vDj0ab2T+sE7m/ErhVdMDZdrTgu7ausFmXlFJ7RSdg+A6YJiIPms9ditYyX4tOJPElGlXA/958ERlv3vuriCxGWzAaoXGE2wDtGsLjOcylLLRv8j7RqAY2tBa5BTDN//mVUodE5G60EL1fRJag55MN/d4OBvKArqfqs/9E+t0Ltl6qa/BUKAxDZyZTquYbFR7+HRdffBN/+MM1fPLJyzWaJWo0vNqkX+PCUqMNvhSbLY5+/ZZRXFyMzWYjIiKCoqIiQkJCfOU8HjeNG38GzKZFi+fo1m10DV9Kuwg4HNUMGfIEK1du5t57n6JLlxt8QW5efgAfSoE2sWtNsw4is/LTTwafffYVixatZevWo5SXVxIbG01CQisee+wCbrzxSnr06Monn3zJ+vXvMmLEYKZMedvHB8AFF4Ry4MD9rFixkY0bn+Duu28mKCiIqKgpwC+8++73LFmylrlz55OenkVMTBT33HM5Tz11L1FRkbX6rnt34ZJLCvj0069YunQdS5dmYRhCTEwj0zSfTevWP9C+fRtcLjdxcZ8D08nPn0TXrpN86WGtVgsOh4OoqALgevLyOhMf/ymRkRF4PAqLxWDx4gq+/HIBP/64jA0bkqiudhAXF0u7dm14+eVB/PGP19K4cSxut5u8vC3Aw4SHjweuonfvPng8btxu3adBQWMB6NlzQa059MsvLmbN+oF5835h+fIUQFFRUUWzZo0ZO3Y67du3we3WWumffhK++24xX321gK1bD1FeXknjxjHEx7dk8uSB3HLLKFq2rHHfFDEoLCxkz5499OzZkyZNmpjz8x5gBz171vhG2+3bgfto2vQeevX6c63xAwgK0oFmffoswuPx4HBUEx4eTlVVNW63i9DQMBwOB263i4KCQmbNcvH88++wdeseVq0qQSlF//5T6dPnekpLtwH30KzZvfTufd9JvuciF1JXKWiz2Zj3r3n869t5/POf/2TxksWUlZXRODaWDu07MPWFFxl/662cIZ0K7msNtUHPG0Tmx32oUkpE44G+jP4oPI4WDl5Fm/huoLaPaaC6ZqHhf+rSUjSG6xCT/0boj9FydDahM8qIBVhEZDYaH7cFWpMTE8BE+Qw6UO0CNFRQFRoC7WngkwDmYNCCvH/msROY2dvq+tiZApU3CcA16I+iAy2grKKOm4Pp8jEUrTEaj3ZlCEELt97vyqE697wgIpvRwW+j0dq6XDT6wZxTddK5kFJquojsQz/bMPT456OFln/WKfu0iOxEC+4T0UJCElpj9o4KkLHtLOh2tGZ2BFr4F3RmsT0mD2+IyAZ0Pw1CzzM7evw+Q2OtemkaWkC9BI3JajXrmmby64PkUkodFJ3t7El0EKJ3o3LGgq0ZhHi9ee8ok9cT6P78Gxo9w59S0QFxw9AbCW/2t8Pouf1NnfLeaOMrzPoNdMDZKQVbk7dfRWO8PoyeZxPRz5qHduGZrpRaVs+9v5gbMG+2u6vR/XuIGmtHg3g8y7nkQG+eX0VvzJugNyyv46cZ9+N3rojsRm9whpv8lqPf2+/QAX7/50h+Dz7EvXr3VlvWr8MjUG0ogp1CRHE1OVmZRPTqyK6cFIIrXPTv2IOqinIqg82AHLfGtzUMYceOWEBo0WI/Xbt259Zb/8gXX8zB4/H4gsr8nzU4WJuNvYKm97pXkPPCYTkcDkJDtV+tw+HAMIxaAqrX59N79AqqDoeD3r37UFBQyLFjR2jSpImvvLctEcFisfh8ax0OB8HBwVRXV/sE8O3bt5OQkECsqZ50u93YbDYWLlxI06ZNGTx4MOWmf4S/kOJ91rCwCD788EMWLlzIjBkzaNasGRUVFTz22GPMnTuXAwcO0K5du1o+o95nsVgsvnpq3D40esOHH37I448/zv79+zly5AiLFi1i7ty57N27lzZt2hAaGorL5WLbtm0cOHCAO+64w5e6uLq6GpvNRnJyMitWrCA+Pp4ePXrQpk0bn++odwxKSkqIjIzE6XRiGIbPb9pms+F0OsnJySEjI4PevXuzYcMGkpKSePjhh6moqPCN05nM8YiICAYNGsSSJUt888Rut/vM706nk507dxIVFUXHjh1999VtZ+TIkaxbt4533nmHESNGEB8f75sb/s/opbr/+9flvyFLSUmhoKCA6dOnM3v2bEJDQ0lPT0cpRVFRERs3bmTUqFGEhYVhGIaZYa/StzGrb2PlpV27LqSiYi99+mwlPLy35gWF2+Mh2BZEYX4BUd7gsYoKHTzmcungMa9bCoABYhjYLNbtSqkLGzwApyA/YbNdAFeAWoLtKeq4By0c3KeU+vRs2zpfZGpZrkYnSDiG/lC+rpQ6A/vOSXWu5jT9cC4kNalhh6sAQP//rr77T6bzPYamdSQFOK6USjgfdf7e6WznodQkwjhTSML/0u+EficaWy0Quj1aiyqG4HK7cLlcKOXBooQQqw1cLgylsHgEl8eFxbCiDAO3p0bDFNukMdM++ZirrrqShb/8THpaOpdfcTkJCQl43B4shgWrzUpeQT6vvPwKAwcNZNSoUT5BDEMIDQnlw398SMuWLfnD2D+wdv06lixZwo033EBISCirVv3KkCFDiImJ4bvvv2fkyJH07NEDh9OB26Wf4YcffyIj4wS3jhtHbl4+y1aspFOHjlx44YVYrTaqqqqxWm0UFhayePEirFYb119/PSUlZUyfPp2bb76JZs2a06pVG4KCQ9h/8BAFBQU0bRpHbm4eX379NR06dKRn7z6Eh4VRVl5GWFi4n6DtJjQ0jLVr11JSUkK/fv3IycmhVatWGIbhE27Kyso4fPgwRUVFxMTEUFhYyKBBg0hPTyc1NZWuXbtiGAbp6ek0atQIt9vN2rVrOXz4MElJSWRnZ5OXl8ekSZN48MEHadWqFSLiE2K3b99OSUkJJ06coFWrVqSlpVFZWYnNZmP58uXk5ORw9913U1xczMaNG+nduycul4v8/HxEhKZNm7Jx43ouuugiRISyshKioqIwDMjLy2HRop8pLS2lc+dOpKen07ZtWzIyMmjSpAmVlZVkZ2eTkJCAxWKpFcTlfabIyEgiIiJwuVxYrVY2bdpEZGQkBQUFxMTEkJeXR5MmTcjNzSUsLIyioiKfFlYphc1mIzc3l+bNm+N2u6mqqvK1AdCuXTsaN9aoLP5CpsvloqysjOjoaJ8Q7r3PYrFQWlpKTEwM1dXVtYK7Dh44QEZ6Bt9//z0iQmVlJV/MnsM999xDUkEhFjFoFBGJR3kQBcrtISQoGJvVhsvpJCgoyBTCPTiqHThdToKDgnwbGq8vgsftxmPOZZfHTZDNhjJRRqyGgUMpbBYdN6GkxuNYiRfUrTYG17+bRKRlAP/ENmgNpgudqvR/lEwfuKvQvrMT/qf5+S/9l/5L/6X/BDqtYCsiM9Dq/FylVE/zXCxaxZ2ANjHc4hegMBntNO1GZ2NZeno2vBEuXk2VqaESwe124Xa58Lg11i0mFq0hBhbDwK0U4qeQy8nO5uCBAwweNIjtW7cxduxYgm1BOKqqMQyDoOAQMk5kMHXqVCaMn8CMGTMYPnQYhslDWFgYn0ybRlhIKL169GTJ4sWsWbOGTp068dP8n2jXrj1t27YlyBbEol8WceTQYY4dPcYH779PRWUFn0z7hIKCAmbPnk1wcDBDhwzhlZdfoaKigh7dunPxhRdRVlpGdXU1jRo1YvPGTWSkZVBZWUn7du1YvnwFhgizZ87mySef5Msv5tKrd29mzJxBeXk59957L82bNycsJIxBAwZiIDiqHUSGR+JRCrdTC/khISG4nE6mffQxpaWlFBUVMWH8BI0w4ZeG+Nuvv/GZzOPj47Hb7Xz++ee89vdXcbvdXHXVVSQmJpKSkkK/fv0YM2YMG9atJ65pHMWFRezasZOff/6Z4ympPPzww9gsVlxuNxbDAAV7du2msLCQwvwCxo0bx4IFC0hPT2fs2LH8vGAhnTt3xl5UzHvvvsuJExnccOMYDhw4QEpKCqNHj6aqqopZs2YxadIkxk+YQLOmTamqqsJeXEx+Xh779+3TmtusbI6npLJk0WK+mD2Hjz76iPfef4/MzEweeOAB+vbpS5AtiLKyMqIaNSIjI4OnnniS+IR4OnboyNixY8nPzyc7M4uk8mN89dVX3H///Yhh8MWcOTgcDu655x5SUlJYsmQJoqBH9x6oUEXz5s2pqKgw3SuiKCkp8WlBKysrfdYBL/xcSUkJs2fOoqCggFGjRrFmzRr27NnDo48+ygUXXMCTTz1BdXU1U6dO5Yu5X3Dk8BHatGlDp06d+PTTT6msqqKsrIyHH3qITz/7jBmzZnLf/feTk53Nd999x8GDB5k4cSLz5s0jPz+f559/noULFzJ+wgSWLV1KVVUV+/btw2KxcOWVV7Jy5Uqys7N56aWXdGY/0GgXJvpCcJDOCuef46Tm//q14f/DtqDvRQPIb0fD+CSg17EwdGaf3yJQ6UypOVr+r+uP+F/6L/2X/kv/pbOkhihVZlHjqO6lZ4CVSqlOaAfqZwBE5+W+Fe28PgKhMHwAACAASURBVALtvN0gyA4Rv5xjon0UDcOCYVh85nrMo8WwaBOqAlxuLH5f0MULfuYf//iYv//tVZo3iaO0qJiE1m0oLizixSkv0qtXb7p26c4P3/3IPZPu5eD+g5TZSwgPDiEqIpJtWxKpKCnlprF/oFO79nz1xVxeevElKkvKaBQewY8//MiTTzzJoEGDeOKJJ/hp/nzSU1OxiEFcdCxTp07l008/pUXz5kx59llwubli6DD+dMeduJ1ODUUWEkJ4WBgbNm7kjTff4KNpH/Pu++8xctQo5s37lmZNm2IvKiIjLY0QWxArly8nOSmJ3bt3c/tttzFq1Cg2b9qMvagYKwIuN+5qB47yCpTTRVbGCe7/8310aN+e+Qt+InFrImnpaUx5/nmyTmQQGhxspiOGzIwMIiMiSEpOYsWqlaxeu4ZLL7uU48dTGXvjjezfuxc8HiaMG0eQ1UrHTp1IaNuW28dPIL5NG0rtdp78y19I3JpIuw7tyUhLIzwkhIiISBb9vJBZc2YTEhZKsM3G7bffxrvvv8fX337Ds889S4vmzXn91VdZsWwZTWJjuXfSPRzct5+O7drz0osvERsdw9zZc7j0oos5fOAgFouNoUOHczwllccff4JrR1/PzFlz2LQ5kY0bN3I8JYW33niD2OhofvrxR/Kyc+jSqTNzZs1m+BWX0ySuCfEJ8Vxy2aUMHTqENq1aUVVegUWEpKNHObBvHzf+YSxPPvUkTWJjOXr4MIt//pmkpCR+/Gk+v65aRUV5OQcOHuCJp56kU+dOTJw4kczMTAzDIDw8nKSkJBo3bszatdoVbMKECcTExBAREcGIESNQSpGTnU1OVhZTnnsO5XbTplUrHn7gQTLS0njumclYDYOQoCBWr1rFrM9n0LplS6IbNWLgZZfx4IMPUlJagmEYPPnkU1xzzTXs3buXteu0Fr1z5840btyYuXPn0rZtW+Li4vjll198bhT79u0jPz+f5ORkJj/3LG+9/RZBQUHs2rObtgnxXHHFPl54AVJS0nBUV5OaksL48eNo1boVkVGNuOHGG9m1e3eN64XfJikrK4tHHnmEzp06ERkWTqtmzQE6iEgNHEXN+36niCjzOFxEVotIqYiUiMgvItKtTnlFjc9rinmvEpHUAHVb0b6bPdA+oH9F+ykmAn9QSr3ekDXJJENE/iIih0SkSkQyROQ90RnOTiIRaS0iH4lIsohUi0iBiCyQOpmBTL69/o93+D3PLL8ywSLyjIjsEZEKs2/WicgtAdpN8Ls/1DyXKyIeERnmV+4aEVkkIvkmf0ki8pZobNzTksm3N3nAr358B9zHiMifRWSv2Xc5IvKZiETVU7ZBfddAPi8Rke9EJFtEHCKSLiKfikjLOuUOmdeb1FPPM+bzPXi2vIrIS2Ydw0TkJhFJNMezUES+ER2p7y2bYPblUPN/5fe3+kz74VxIRHqLyNcikmo+Y56I7BCR981NY6Dnu0NEdopIpTn/ZohIAKR0rSATkddE5KBZ3i4iK0Xk6gBlf7P14jR9cNq2/Mq2EJGPzf5ymP31gwRe/3x9FuCa/7vsf36Web69iDwsel2o9M4L0XSHiGw0264y5/1SEfnjmTz3/3Y6rcZWKbVWTo5eHkMNrtpsdLq3p83z35gwFSkicgyNabfpjDkTMAzBaroOWABEY6W6PW5cLhcWLBgItpCaYN3sLI1QUFVZyUUXX8KSX36hRbPmjBwzhuTkZK4YPpxG4RHExMSwbft2CouKOHToMC2aNiMkNJRSewkRYeGkHksiMTGRtq1a8+3cL/n6q68IjYwkKTmZFs1b0KxJHJGNGpF6PJUVq1YxcuRIvv92HhXFJTidTlauXElFRQUnTpxgzA03sGzZMvr3u4Dq8gqcTiezv5jD4089iQAXX3QRIcEhOF0ujh8/zutvvMHnn37Gwf0HaNumDc++OIV2CQm0i4+nc5eunMjIYPfePdz1p7s5dPAgL774Eh6Xi4jIRqSlHWfg4MGUlJbQtnVr/jzpHgzD4NfVv7Lq11XkFxQRFdGI6dM+YdRVV/P/pn/G1/+aR2REBNeOGsWRw0coKCxk+cqVpKSm8qeJd3L1lVdRWFhIbHQMnmoHFWXldOnUmcysLJzVDlo2b+FTz7lcbqoqKgl2e9i1Q0Pu7d+3j4ULFxLXpAkDL70Mq83K6jVrOHzkCBNuux17sZ2R14zg559/pn1CO6yGhZjIRuRkZnHdtaOJiIigb9++/O31NygqKmLktaNp1KgRN1x3HQcPHWLvvn089MgjXDtiJG6nixbNmrN/7z4S2sazbPlyNm7eRJvWrZl4223YbEF8/c035OXnsXX7Nl55cSrFxcVs3riJnj11FjKLxcIlF11Mz5492bRhI9eMGMG2HdvZtn07GzZu4ML+F3L96OtI3LaNH374gf379rN2zRpiYmIIDQnhueeeY86cOaSnpzNp0iSaxmlEpoT4eIJtQcQ1bsLwocN456236dmzJ40iIqmqrKTUXkJhQQHx8fF06tSJ6EZR3HXHnYwcOZKtW7dSXFjEnt27OXToEMOHD6dxbCzjx41j4cKFfPbpZ/Ts0cNXtqqqiu7du5OWlkZFRQWDBw8mJTmZnJwcYmJifAgGxXY7T09+hr59+nLXnXexecvnrFtXxtg/PMxPP/7C0OHD6Ny5MxMmTCA9LY0f589n5LWj2Ll1GyFeTS6QkpLC0CsuJzMzk2HDh3PzH2/hRMYJvv7qqyg0ruYflFKBzP+jzXVjMTpyvTs6EOMiEemuavKZT0UH/fQBPqAGTD0QpuhX6HXna3SQ2Ch0BH+qUuqHAOVPRe+hA8XmobMrXYOGDBssIoP8fWFFp9hdhoYSWgr8gA7+uAFYLyI3KqUWmcXfR2uRHwV2oyGIAHaZdQWZdQxFB658jNY23wR8KyJ9lVLPBuC3AzqFZiIa0zTU7ANE5AV0PxaiXTFy0dHeTwKjROQydXqg9/fN5xmKXvtTT1H2TXR/LTT7ZTg6u1lHdFILH51h352SROQuYDo6C9YCdAR+JzR26XUicqlSypu4YjY6UGccAYJz0EE/DvyCm86B1wfQ2eoWoAMkL0Fn4+pjjmc1ej5PRSNExFOToQtO3dfnlUQHEm5Br+wL0P65jdBj9wA6AKpuwOLjaH/xb9E4sIOAu4BhInKJ8kv/LCLxaLkhAR3QuQQdTDgaWCIif1ZKTQ/A2m+xXtRHDW0LEWmHRjpoiQ62/BqNonAzGpe4vvXvbOgDarBrF1GDT/x3YDJ6rOahAw5boBFKbub/UCDZ2frYNlNKZQEopbJEY9eBCenhVy4Dv3zR/iQi96K1KbRsFbAIXmunDrhS4HbjdrtwOQWny4mBB6fDgVTWQPV16NABgIKCAjauX88VV17Jth07SE5O5r577+GdN95k1+5drF+3niuGD+fmm24iOCQEh9MJIvTs0YOU5GQWLFjAxDsmsnHjRpKSkrjr7ruwWG2cyMigY8fOdOzYgQ0bNqKUh2PJyUyf8Tk/L/qF66+7DpfTRVxcHGIYhIaGEhwURGhICN27d6e8vJyk5GT+8tenCA8P57oRo2jWrCkDBwykU6dOfPjhhzRu3Jghw4fz9dy5dOnahbdefZ3hw4Zx5OhRevXqxZYtW+jduxeP//Up3n7vXfpf0J/Ro0eTn5vLN19/TWFRIQ/8+T6GDh7MgMsGEBsby9KlSykoLKRd27YYFgsej4dNiZtZu2E9fXv34eUXXqRjx44kbk3E4XDy6fTP2L5rJ0mpKYwYMYLcvFy6detGeUUF8fHxiMXg6JEjXHjhhb4gONBOJdXV1YRFRnIsSeNS7z9wgEcefIhunbuQk5tDz5696Ne7L2+8+zbvvf8eo66+hldeeYURI66hXbt22O12IiIiaNqsKTk5OaSlp9Hvgn6+um4cM4ZPP5lGTm4uGcfTaNK0KUMvv5ylK5Zzy0030bVrV3Jzc9m2YwcbN2+ie7durFy6nNCQEEIjwunbqzfPvfgCW7ZuZeEvP3PzTTexcdNG/jRJY3aHh4cTFBRESmoql1x6KfnFRQBs3b6Nf7z3Pr179+aiiy9h957d/OXJJ1izdi0//7yQcePG06J5Cx575FGWLVtGeno6t0+4jcsuuwxHdTUVlZU4HQ5Wr16NzWKhUaNGpKWlUV5eTlBwEL169qJ79+507daV4mI7aWlpDB48mOLiYiwWC06Xi8StGk3hjol3EBwczOhrR9OsWTN+WfQLfXr3JjIy0pekZMaMGQwdOpTS0lJWr17NmjVrGDBgAGFhYXhMgXTZsmXcfddd9Ovbj3HjxpGUsoqXXtrL4sVpDB46hEcfeYTJk7X8ZIjw/JQpvPHmG3zx5Zfcc1dNit8HHn6IzMxMpk6dyjOTJ2u/W8Pg66++OowWKmaLSLxSqqzOa34DcI1SaqXf2vAa2gp0N1o4Qin1krnB7gO8f5pgkA5AD6VUoVnfc2jhcaKITFZKnUk6yYFAX290uWhXq38BY9Eg8K+Y563oj0kEOqhqjd/ztETDI30uOmlEtVLqffN5HgV2KaVeqtPuE2jhcTFwvTKhKkRkKlponSwao7YuCsMgNK5sLaFXNErEVLSSYZQ/6oLUBMtMRQsn9ZLJd7TJ26xAwWN+dCkaczXNbMeK/ugPF5GLlYmXe6Z9dyr+REfDf4oWAof6u5yIyOVo9IoP0FmzQKMx/A2t3ftHnbouQkOX/aDMxAHnyOsI4CKl1F6/e75CC9VjgHnmuLxkavLiA8yLfxfdgUYSuEEp9ZP/BRGJITBu8kg0bupOv7LvoTeCr6NdFL00Gy24j1NK+W8aotEC74ei8V/rptn9LdaL+qhBbZn0/9BC7fNKqb/7lZ+GRkmob/07G7oA6KdqMKK99Gc0MkVPpVSt8ZF6LBL/seQ1KZ7qD72r2uf3f3Gd60Xm8WPgNr/zn6NNf6esv2evXqqqrFTZi4tUXmmhKispUa7kLJW1focqLSlWm47sUXv371Eee5mqys1XxfZClV+Yp8qKi5S9qEAV5uWoX39F/fqrqH27dytAjR83TpXai1V5aYn617ffKkD95fHHlL2oQFWWlaqK0hJVWVGuKstKlb2oQBUX5KuSokJVXmpXZSXFqsxerKrKy1R1VaWqqihTVZUVqrS4SOXlZKuy0lJVWV6u8rJzlL2wSGUcT1OAum3CBGUvLFKFeXmqtNiuykpKVFVFhcrPyVUV5RWqzF6iyu0l6s/33qsAdf9996lP/vGRyjmRqSpKy1SZvUQV5uWr0qJiVVpUrCrLylVhXr6qqqhU5SWlyl5YpOxFRb7fMz+foQD19ltvqcK8fFVRWqZee/VVBah3335HVZSVKXthkcrLzlGlxXZVWmxXVeWan9ysbNWzZ09ltVpVyrEkVZCbpwpyclVeVrYqLy1TGanHVePYWHVBv34qPztH2QsKVU5mlsrLylZV5RWquKBQFeUXqMK8fJWTmaXG3XqrAtSu7TtUcUGhKreXqJXLVyhAtW3TRhXm5avjySlqz46dKj8nVx1PTlGtWrVSsTGxKiczSx3ct1/lZGap7BPp6kTacWUvLFDZJzLUutW/qr27dqrKslIFKIvForZt2aJKigpVTuYJlZl+XOXnZKm/PPa4AtTjjz2m0lJSVdKRo+qCfv0UoL77dp7KyjihCnLzVGFevsrPzlFvv/GmAtSggQNVZlq6yjiepnKzshWgevfqpbZtSVQn0tJVWkqq+utTT9XUnZyicjOzVGmxXa1d9av6xwcfKkA9+vDDyl5Q6Bu7Sy6+WAEqNSlZ2QsK9fgW21Vhbp5a+ON8NXvGTLVl4yb195dfUZ998v/Unh07VfaJTLVs8RL1+WfTVWpSstq/e4/KzcxSKceS1KF9+9Xh/QdURESEimoUpTLS0lVRQaHKz81TDz34kALU8889p9JSj6sjhw6rX1euUtM++ljlZueolKRkNXfOF2rl8hXq8MFDavvWber7775XgOrapYuaNWOmysw4oexFxWrzpp7q/fe1G218fLwqtZeo0tJSVV1VrZzVDrVj23YFqAnjxquCrBzlqXaolKPH9Di3bavKy8tVtcOhqpwOVe12KTSU0xfoPepEv7XhTvPc3ADrTTvz2nd1zs8yzyfUs06tNq9fGeDaVPPa6Aaued62pgS41h6tJUnxOzfGLP9WPfV5oYFG1VlXFVpArFv+KBpztGuAa38y75sRoK5sIDjAPT+a13vUw99OdBxFQ/rmJbOuYafpu0kBrt1lXnvoXPruFLy9Z5a9tp7rP6KDByP9zi0L1DdoAHyF3licyzh7++tvAcoPN6+9HWguN2Q8Gjhm3vmR2sDy75jlrz6D+fB5gGtRaC1ppXdeooVNBfyrnvq8ffyA37k7Oc/rxSme54zaQuNYK7RrkS3APYHWv3rfIepZF/ye59F6+C5Aa2tPev//r/2drcY2R0RaKK2tbYE2aYHW0Ppn4mhNgwIjNDM+XBOlUJ4aCC1lZngC8UEYKXOEPQhis/rqOXRsFADF9oXs3a8T6MQ0VsTFWXnv/ffZsPEzBgyIpHefMDp1DMVqrUmFiwjidTs2f3vTxIoIlZWKb77JZvXqQtLSqqiocKPnk6ZjSYs4mjwWEe99gmGx6DJKY+6KYbBuvU52cvHFm2ndZjfZeSs4kePBMCyIGKB0FinDYkF5FJlZ5cyceZjExByysyuoqqqdRjrjxDecyDmAUnBB/3LCwmz89ZknWbTkHwwa2Ja+fZvRsZPesFktNtxuD1VVLvbv30dMTChvvTtew30pap5HBIvVweEj+8kteEdH7IsuU1hiYLVYcHs8KI/WzFVX6+QHJWXfUFAUjcvlJihYw5B17hxJkX0mIkJEtIG9VKMSNG8exM6dmVRWf09wqKLKacXjcWMYFopK9KarbTs9tvmF2wFo2TKGuOb7KbLvxzAseJTCWSVcelkovA/7D6zDEjQADDfJKUcxDIN+F7pQsgWHyzCj/xXjbuvK088a7N23G4+xS2tETX/RiAihdbwdi1GG0+EE0Ra0vn3jCAlPA4SKaqFTZwgJ1+5j+QWpVFTux7BYCLIFYbXqIL7oaDvV1Xm4PUEYYuDxuBl2eReqnS5SklNo2lxx/fWXYbMFoSjh0oGdGCBdqayqJKZJBC5nGU0iQxCCmTXzK8rKyrj77tuIjASRSqxWg9tvv4mPPv6IhT8v4Om/PgaE0aZNMy6+uB8ut4eIiCb88Y83oRCqKqsJCgoiN08/05VXXsX48eP1+yca3sCE3KVP7z4Eh4TgctVYHL3phzOzMs3yBrt27wZg4MCB2Gy2QEFjq9D54PtxMl7ptpOLk24eYwJcawidzzrX1D2hdOrOdHTaXm9O+svMy/Gi4bDqUifz2A1tPqyXRCQSbfI9oZQKlJVjlXnsF+DabhVYq3kZ2nR8s4jcHOB6EBAntdOanis1dBzOW9/51TVUAvvmNkWnQe2MDiwELTBchdZS/hV8riC3UoN9ej54/S3m+m9F36KF9PmikwusADYopZJOcU+gd8UuIrvQGv5uaFcbbx9G1dOHceYxkC/rv7MPG9qW9z1cpwLjSZ9q/TsbSqzn/Jdo7N79IvIv9HhsUidnpfuPp7MVbBegF4HXzeNPfue/EpF30Wr5TtQ/CH4kvo+qLxWu+aFVIigBLAbK7cYjghuFR0AMC1YUDkcNzrHToS1PbncZ1dVa62+xwMcfw8yZsHFjBVu2aC19VBSMGQO33w7W0/SEy6Wzeh06BO3awbBhEB1dc9/s2VBZWURp6a+nfVq7Oc2aNtuF1QqFRfWXzcyE+++HsjLo1Qv69YOICJ1NKjsbli6FoqLt5OfpNTooCKZNg1mzYNOmVFasSNVtNYVbboE//EHXm5enhdjCwkqmTaub5bA25eS+ecrrAOWm4eNE5pu4TZjUbNPga7EeIC39qZPucbl0Jq6U1IdOW7+XIiPzSU6++6TzlaanY27udo4c0bE1JSUQGQlpaeMD1tWoERQXl3H06HV1nmUPBw9e5fs/xzSGFRY9x/46sOPeZ8wvWMihowt958vM1Ms79wSSPWqoYyc4cPCFU5bx0kfT9LF//7ns2DW31rXOnWH37r18+XUcXbqcvq5DZhK20rKP2LDpExPFQVDKielVQqMoHR9lGBbfptNm0zEjTqdTawmUwl6iJ3SL+lOvZZnHQAFKJ/m8KaVcmp+zy2mvTk5uAFpLdzZ11jWFeikbbUr1aqQam+cDCY3+FNGANr3BVVn1XD9Vf9bnZtEYvd6/eJq2I6hJvXqu1NBxOJ99563r5AWn/rp+RPsh32a6qrjR/pWN0WZs/4wl58Lr+ZyXvykppRJFp+t9Du3XfTuAiBwGpiqlvg5w26neFaiZ194+vMr8q48a1Ifnul6cghra1rm8r2dD9b3jj6MTQNyNdpd4BnCJzl73hFLq2Hlq/3dPDYH7+hodKNZERDLQC+PrwDwR+ROQhvmSK6X2i8g8dNYRF/CguUicppHagPRelY94kwL4NJ9uHUAGKBHc3pS6Cnr23IXH4yE6OhsYRXT0dXTrNgXDEJxOJx07uhk61IbVarB37yHWr9/BzJk/MGdOGrGxt/P003/CMHQWM5fLaSZNULjdLpRSLFq0gUOH/sbNN1/Bu+8+hsVi4HI5UcpDTk4hs2dPIiysBwkJL2CzaZgkwxAMw5v0wI0XB79JkymcOJFMSMjrtGvXHJ1xTHC7tbBgtVoQ0ffNmPElJSVreOutidx88wBEtA9rUJCNH3/cwtKls4mOHknr1lfpTGyiaNtWMXCgxiU9ePAE69cfYe7cTXz0kZ2WLcdy880XEBNTDbxC9+4tmD//z3ixhL3tejwu329vv2g+MRNM6POgeQ8NXQIcpHHjiTRvHqVh2txlwBeEhnYhLm6IOcb6TymFzbYYyKZJkzuoyXBac/3k3/Ow28OIiRlxUpljx/KATURHNyM6uj+giIxcQWmpk7CwK7HZDF8b3qxkJSVrCA+3EBk5oGbSsR6LpRERET3QGe082GwngEyCgzsRHh7pa1spRXBwNXAIiyWa0NCWvnoMIxWoJCREK3B0XSc/k7dPdRm3Xxl81wGOHXNy6JAWIB+sFZ9dm37+2ULXrlbzWWv3Uf0AXLUtD14SERQKMbQFQcxzmld8uLdRjfS6np1dr+uqV+L936g5aIbOjlSXvJHe9jrHMUqpBQHKnwl56woYTc6p+7O+QbYDhlIq9lwY+43ot+i7KHX6QDgAlFKV5ndrElrQWkJNRP3s35DX3zUppTYBo0UkGOiP9hF+GK28ylNK1U3j3KxuHSbV9648qpT68Hzy/D9EZ/O+ej94gWSw0wnAAd9xU9b6APjAjHsahLY63Az0EJEe9Vhz/uOoIagI4+q5dEU95f+Ojs5rOCl/X1/0V1MpX4CLiGnG9+mNtNuCUjo7VkXFVsCF1WqjvNyrsa1AzyMLIm6Cg204HJW43VY6d25Nz54duPLKi7n00vEsXryeKVMeorraiWHYCA+Pory8AsOwEBoagtPp4vhxvXkbM+Z6wsLicbk8GIbCarWya9dik89QYmIuQMSgutqBF7JMKUVIiE4A4fHAhRcOZPfuZDZtKqdPn+FYrVoLZrMFYRgWXC63twvIzNR+9bfd9oYP2D8uLpyQkBB27tRxeiEhvWnWbJK3/wEtdNhsNtq2tXDFFS6GDPmV66+/nrVrK3jggYdo1sygW7fvOHYsifDwe3xJCrxZ0LyYq97/vQkMDMOgvLwci8VCeHg4TqcTj8dDaGg2cJDWrZ+hZctWptCXhxZsL6BVqzcJDQ1FKYXLpZNvhIQcBbKJj/8HHo8HixnU5t3QiF+mLP1c88jOrsZme4WEhATfnAGYN+9VYBOXXXY3HTs+i1KKfv2uZ/Xq1eTkPMLQoUOprq4mOjoau91OYmIibvca+vUbQLduS/z6LoKwsN50767hl61WKzExzwNvkZDwAV27DvLx5vF4iIxMB3oQGzua3r0/8/HUqNG1wBq6d9/m60Mxs4fp+emmoqKC0NBQ3xwHfNehRitqs9n44ovHgM8YMmQI7dq187kO+GeMmzdvHqtXW5gxI5nY2FgcDgdBQUG+xBTevlJK4XCsAUbQqtVkLrlkMv4Cd1paGtoN7tTktbL07aPLbty4Uc+hk80fw83jjtNWemrybpL/ndqtodRJ4yki7dEuV6l+2mFv0OxgtOXqrEkpVSoiSUB7EemklDpap8jZ9OdmdHR2D6XU/nPhj/M/Duet78y6+lMTNd5QmoUWbO8QkW3oQKg9SqldAeqH88PrqcgNICKWBimHfkMyhaGNaHSTo2hz+hi0e4I/DaWOqV00tFtfdArog+Zp/z78LQXbf9d64Q2WGyQiVlU3J3ng99Vrp23DyXTOmRqVUrlotI4fRGQlGoWkJzXuN//R9DvJPFZD2iKqMW31d1N8gq0m5dMueTwe3EBq6kRcLo284VUalZau5OBBHcyYkgKhodC8zn7q8GFvmyns2XPJKfnyyhs//fQo/iAOmZkwZYr+XV6+jZ07O518cx0aNEi7Crzxxiu0avUKCQm1r+flQZzpZRQWpo8zZrRgwABvCSExEebOVeYzv8WOHe8DwqFDimbNDGJja3yHRQx27dKuPw7HKvbsaY+IwZgxVbz+uoNbb23Hs89GExlpwecWgkFJiYesLDddugT76tHCJr7fXh9ku113/KFDYygtDTGFcu0iYrcv4ejRy9GmbjHdTYSKioPmPVf7TOHetmt41/97BT+3281jj13Oa6/1MYU6ITOzko8/3oDVKgwYsIWkpAkoBddcU8bq1TB58h1Mnz6I8PBgsrMNKipcPP30agCuvdZDUtK9vvYBqqqOkpz8ICJgsVgpLd1mjssnZGTob5nHozAMC1lZpQCUlm4jNfVpDEP3YWiodi3fuvUJ2rSJqfVcXheQwsJymjaNJCoqXPtUm/jM3j51uz0YhoHDqu+ZOQAAIABJREFU4eGbb+ZgsRi8+eYQmjaNMjc+yrd5AsFu38/8+dv45z8fYdy4QXh90vWmwWaOm37O4uIjAFRWHqCg4AdACA/vQ1hYVwyjBj6vPvJl4RWhdevWXHnFFaxYuVKnWv7LX/yLhgPj0Qv5j6et+NTkNZG3RZvc/h30qIjMUTWoCAbwFnowZ/qV+8nk6UER+VUFgHsSkcvQPrCBIsrr0gy0guAt0VBBXkGnCTp7mrdMQ+k94FpguojcpE7OyhaORjDYHPDu2uQ/DueDzmfffYRG23lPRI4qpY7UqScIHbm/zv+8UmqDKbSNQVscbWhh97fk9VTk38cpAdpogTaBZ/0WPpSmG8KeAHV7tbKBnu12EflI+aEioIOkooCZXm2hUmqbiKwDxorI3Uqpk+axiPQCckwB7Wzp37JeKKUyRGQ5Wtv/GPC295qIXELg9c/ronmXiHyhalBP2gAN803zI1OrPghYpfzM36Lxhr1WmnOZj/+r6Hch2Irg0z55f3v/fGUM7/+mZgkhyGb1E3ghJKQf4eEAO7FamxAergMY9+zJ5oMPMujdO5y2bYOJjbWQm+tk7doSDMPDxImtCQ6OME3uCqVq3Aa8puJhw1zMnHmCf/3LRWpqCJ0728jOdrFxYxWXXRZMTk4VIjZstlif+Rg8ZGW5uOUWOyNG2Jg8OQwR6NBB8fjj1bz7bjX33gsDB1po3RrsdsWGDR4KC+G99wz69hXGjPGwZInipZdgyBAd2JOaqkhM1H6+v/6q2/FaGJYvh/nzoU8faNVK+5ie+P/snXd8VUX6/99ze256BdLpBELvNSBFRFxcXBVlxYIN3FV3sa/fXduK6Oqq2FGxoSgqFhTpNXSpEoIQ0oAkENKT28/8/phzb0JIIKDruvvbz+vF65JT5szMmXPOM898ns9zDDZvBrMZJk924/OVAXDxxXDgAHz5pZurrz5Bv37QqpXiphYXw969MH48nG6nNA2fPjd2uQ5RV+f/v39fObW1ZxKJ/efU1rbkW6rQrh3s3VvClCnL6dcPamtVH9TUwG23QUjIasr1Sw0apPpo7dpyJk/+mmHD1PbMTCgqUvsGDszk1KnM067h8ZRQWvpO4G+HQ/2WlX0d4Nv6ocdg4XRmU1JSH+eTlgbffQe33/4mVVVw4gQ8+CCM06XHn3pK8aPvv1/18dnw3XfqngwZAg7HE+TnN31cRoa69+++u5DBgxeedv6cOadf6/hxf5u+5PBhRZFPTn4Cu73LGeX6Azvz8vLp2LlTYHvD5/OVuS8x4qJRPPDAA6xYuZI+fftw7OgxgM4oWtKNUsrqs7f0nFiF4k7O0wNaalAKLS/9xHLPhkxgtxDiY5T0V7q+/XvgaV1SKBe1ZD0ZpWv6jRBiEypQpg7llemPUlNoQzMfGKGLx0spU1Efx0tQhtYenSdnRy0rxgFPSyk3trQRUspVQogHgNnAIb28XBSPMQXlbdvImcl4msIa1FLqbCFEOrr3SUr5REvr06huHiHET+q7BmVlCyFuQhn9+4UQ3wE/ogzVZJSX8CRw5kBX3sbHqU+7/OF51rUv9d65c9b1HFiFutef6/fKAeRLKd/X989G0SVupGkD/KdiFjBOKPH/I6jxkY7ygpYDbzRxzlIgU6d1FKEMrWEo6bUHGh17LSqo6i0hxJ0ozdwKVMB5D/1ag6kPTL8Q/GzvC1EviXdjM4fcjnpXPCNUgokd1OvYajR6/0kptwoh1qM0srcJIVajJg2XocZWEtBLqEQTo+TZZfVA6VWvBPKEEFtRCg02lLGdBnwlpTxwlvP/q/CrMGxB/0jKhn+D34MWWHIVAqnpy8/+peoGmY9SUt4jPFwA6YSHj6Vz51cQQjBt2mE8nvls2LCBTZuOUV1dSevWrRg5cggxMdFMn/40VquVgwcPEhxsJyUlBSklLpcLo9FIUFAQDoeDL7/MY/bsOWRmZrJvXzkpKSn89a/TmDFjBhERUYSGDqRbty+RUmKxWPjxxx+JiCgFxhMZ+TsGD55PRUUFBoOBvn2DGD9+Cy+++CKbNm0mM7OSqKgowsPtlJXl0r795/TqNZx+/UwkJGTy5JOz2bz5e6SU9OrVkwUL/oDJZGTNmmto1WoWvXvfh5QaQ4bMR8otZGf/yIYNxTidTsLDw+jbN5m5c/9BcnJCwGg3m43Mn6+xbNlq5s//iJ0791BZWUVERDhJSfHccccgrr56Iu3bpwASq9VKXV0tRUXH6dixA8eOHWXz5k307duX4OC5wAratfuYxMQ2mExGHI49wEzCwy8mLe1BnWqg+LlGowG7/U5gL126LKOwsIQBA6Zx5ZWjefHFWXodJT5du1jTfMCVxMV1Y+7cO3nyyQ9YsWIPNTUOOnZM4OabJ3DllSOQUsPtdgc40u+84+ODD9awcOE6vvrqGAaDoGPHeGbMGMrUqcPQNB/mBqoaMBObrQNt294V4KeGhX0DLCcu7nYiIuI4daqUpKREndNcDjxNcHAfkpKu0HnJPm691YvTuZYlS/Zx4oSytFetSuamm6YhpYbdvgTYS2joxcTH98Tr9SAEmM0mxV1F8bsNBgPLl38MFHH55RlYLPGEhARjsZgBGTgWJOPGSVJTF3HwYBUnTlxK9+5xeL0eQkOPAJsICRlETEw7QCMsrARYQ1BQV2w2H05nUzTSFjyz+jParl07tmzewpOzn+S7775j/bp1hIWFgeIDjZNSbj/vCzSClHKZEGIWSuT/T6hI/nyUl+4nQ6gI7b9Rb5ygX+e3+jX9yzHzgbullM6Gxr2Ucq8QoifwZ1Tw0Y2oj1oRarnyb0ApLYCU0i2EGKuXdS2K2+hF6fHe3UzwzrnKnCOEyATuRBkck1D35xjKUDnDkGumnANCiOtRiR1moj6goPRgLwg/c999IITYgzLORqGSBtSiFHo+pXmh+vdQsnBmYIk8U0P1XHX101IWt7SuZ8GbqAnHFJRSgwkV5f7+2U76GfEKyoAdiJrQ6WuHvA884l/BaIR/otp+NyrxRA3K6H6osedV93L2RY3rK4CpKMpAMcpjPhfYx0/A+bwvhNINXoO6/3kXcK0jQoh+qMQVE1BxSVUovvbfm3n/TUKt/kxC9cMh1L1eDpyRXfAcqEUlyRoFDEFp8FajPNUzaLC607Ct8t+nk/wvhTgtaOvfhO49esjtmzLxaD7cRkGQT2A5UUPpiRJCenRg/6mjRBustA+Lw+XzUGNSgU4mCV6Pl6ysNLzeUvr0OUJ5OcTHx1NaWkpERAROpxOTyaRE8C0WbDYbdXV1mM1mtmzZwt69e5k5cyYej4fqajWhioqKoq6uDrvdjsViobS0FLPZHOCUquVhd8BjZbVaqa6uJjQ0FK/Xi8+nMqOtWbMGr9fL1KnXMXXqtbz++ms4nU5CQkJwu93U1tYSHh6O1+tFCIHT6aSmpoaysnIiIiKIiYkmKCgIl8tNRUUln332GQMHDiQtLS3AL/bDYDBw5MgRNm3axMCBA+natStutxubzcZ9993HxIkTGTp0KF6vN8Bz1TQNi8WC2WwOcGUtFgs+nw+3243ZbMZms+F0OtE0DavVSlZWFl9//TV33nknxcXFrFy5knHjxlFWVkbHjh2x2+0IoQL2Nm/eTGJiIu3atdN5nW5MJmW4+fmf/mvn5ubSs2dPpk6dyuuvv37a+PB77+12O8OGDWPp0qUYjcbAMrvH48Hn8xEWFobT6aSuro6YmBg8Hg+1tbXYbDYKCgpYvHgx11xzDdHR0VgsFjweDyaTSQ+Gq+fy1q8eCEwmExUVFUREROBwONixYwfFxcVMmDABk8kU4M96PB6EEKepBhgMBkwmE2PHjmXDhg24dBe22+3GarWSl5fHzp07ycjIoKCgAIvFQnx8PBEREXi9XjweDxaLRQ/gM7BkyRLCwsIYMGAAQUFBepBfPTdZSsnRo0cpKioiPT2d4OBgNE1jwYIF3H777cybN49p06ad8fzl5T3E8ePPkpz8BAkJ95zmiYV6j21BfgEdO3fi+mnTmPv8C3jdHiKio/F5VdulwYBfnM+foMFqNH0vpfzJnLFfAg0N26Y8JEKluLweaCt1wXd9qa89UCn1pDU/4frtAeTZJZX+h18p/psNhqbGfoN9j3CW5+Y/Aee6dzpXuA3/IupHM3V6hH9Bv/43j1M/fjUe24bBY8rWlvXqCHAa5UA58yRGgwmTrb4JpaWlrFmzm/79+rFhwwZ+O3kye/bsobS0lL179zJp0iTy8/MpKSnBZrMRrHgLbNy4kZSUFEpLSwkODmbfvn3s2bOH1q1bM/m3v2XdunVkZWUxZswYBg4ciMPhICgoiIKCAj788EO6du1Keno6e/bsZeDAAaxbt56jRwtZt249aWlKik/TNFwuF8F2OydPnmT9+vWcOHGCgQMH0r17dzxuN+Hh4TgcDvbsUQoP48ePZ/u2beTm5dM1rSs1NTUsW7YMj8dDx44deffdd+nQoQNjxoxh44YN7Ny1C5vVGjDosg9k06p1KyIjI+nRowdr1q7lREkJo0aNIjJSyfAJIfB4vbjcLmw2Gz6fjzVr1lBeXs7AgQPxejxERUVRWVmJ2+1myddfs2PHDlxOJ0cLjxIREUFkRARBQUGcKj3F5kObCQ0NZeCgQURGRtKmTRsO5+RQUlxMdHQ0CQkJ5BzJobqqmvTu6URGRiljSJ9glZWVsWvXLlwuF2FhYdjtdqKiooiIUIGibrc7YMSZTCaqqqo4fvw4tbW1dOjQgZycHBwOBwMGDKCyspJDhw4F6p+SkkJdXR3Z2dmkpqYSGxsbMER9Ph/V1dWcOHECk8kUCKYrLS2lffv2OJ1OsrOzOXr0KO3atSMoKCgQUHf06FFOnTqF0WikY8eOlJaWUl1dHchg5nQqLTKXy0V+fj5Wq5XwsHD2/7Cf/Px8pJQkJSZhNBoxmUzs2bOHxIQEYuPiKCgooKamhpiYGDRNIyQkhJCQkMCY8vq8lJWVoWkawcHB5OTkcOzYMbp160ZdXR0VFRX4dM7HyZMnKSwspFWrVmiaRnl5eSB47bRnsQXPa2Pjt+GZ9brT//2QSreyKa3ZCynrfwbt//A//AqhG7P/iaou/1/iV2PY+j+U/uAx5TUTCCkxSoFRAprEKMEodS6s5kPTP6YOB3TuPIQ2rVtzx8wZbNq0ib59+rB182b+PnuOMlJOlhIaEsyYMWMYNnw4V111FatWr+W+e2dx/bRpZGdlERwcwsKFH5NfWMDhQ4e59dbbsQcF0bp1K1rFxdG/3wCQgvKyShYt+ozt27/nsceeYMbttxMZFcWsWfdw8OBBwsLCuGPmTPr07etvITaLBY/bzcKPPsJkMrNw4UL+9KdZ/Oayy3jj9deQwRr33nMvH3+yiNdee5VtW7awa/duJk68jIGDBpOYkMCojJGsWL6cPXv3UldXR3h4OL+f+nuio6IwGgyU15SRl3OEuJhYvlu6lOxDP7JyxQoef/xxTCYTPXv2JDYulgmXTGDosGF888032Gy2gMd2f1YWS7/7jqTERJZ88SWpqan07t2brxZ/gdFs5tVXX6WispLUtm2JioxkwvhLkB4vISEhrFixgvLyciJiohk5ciRJSUl8s/RbHv7LX0hKSiY6Oor+/fvzl4f+wt69e9mwYQO9eofx5JOzmfPUUwAsXbqUpUuXBsbFDddfz2233U50H8V/r62txW63U1tbC1Lyw759vD1/Ptu2baO2tpZTpafwaT6SkpLo07sP7dq3wx5kJykpidTUVJYsWYLRYMDldJKQkIDUvZ7VVdVs276NDz74gB07dlBWVobD4cBkMtG5U2f69u1DTGwsmqaRMSIDgzBQWlrKKy+/wvx35lNZWYkQgpSUFCLCw7nooosYOmwY5eXlFB1XjrxNmZk8NWcOhw4d4sSJE1itVrqnd2fsRaPJy8ujY6dObN+2jRMnTnDx+PGsWb2GOc88zZGcHJwuF8H2YIYPH86Ts58ktW0qtqAgvt+5k927dhEREYHZZOaxxx8jNzeXu+++mzatW5OclEznLkrYdvWq1VRXVXHZb36Dy+li1EWj6NGjBwsXqpV3qT+AmoBbp9/MB++/T/ahH0lNTgkol4D69fl8AbkvIQR1DgcvvDSXRYsWcfjwYYQQpKenQ33gws/xjghHcfUmo5ZpHaggjGdkI+mhhpw4KeU7TZQlgXVSypH633l6mQBrGlEMmrXSG3JspZQ3NNj+DrqHC7gY+AOKylCJCkC6t7HnpxHH9ox2oJZR/4bickpgA3BPU9w5oVLLzkZFQ1tQFIa/o8Tvm+2XJsp5hHp6RhsU/SANtey+EHhQSukSKl3tX1HpPn3AEhRlwp+K1oha4g0H4mUTqUWFEC8BdwC/k1J+1oK6nXcb9eXvh1Bc23DU0vc3wOONPe56+TcBY1BjI0w/fhnwmJTy6LnqqJfTDjVuL0KlmHeg6B+ZwF9kCxJiCCEuR+nJDtDLkCgZuneBl2R9YIf/+Hc4z/GnnzcGdb/7AC6UIkhjfmxL2rwWxcu1oTjLU1Ha9kdRlI/ZUkp3o3Mkim4xBUVruQQloTVdSvnOhd4PnfP6RxStIhzF290JzJVSrmzQVwB/E0L8rcHpo6SUa8/2PhFCJKIoBJeguLF1wGHgaynl4w2OG4VKnzwMxSU2o6gCi4A5Ukpnsx3aAgghWqE4xZfp5XtQ2sKbUf1zpCVtbVDeNahAzF4oDm8uKgnEM7KRbFiDe3ctMAc15kJRtJJnpZQfNjpeANNQaYA76see1I9/W0rZHF2oRfjVGLbNwadp6iOK5nfl6vqpBoxS4Pa4QSrVg7QuHfhh/0Hw+Zg08TK++HwxJ0+W4vUq9Y0DWQe44vJJXJQxktKyco4cyQNgQJ9+VJaVYzVZ2LNrNytXrcLhdNKxfXtiY2Mxmoxs2JjJAw/+hV49etGrdx8O7N+BzWIlPFSJ2K9atYq8/Hw6dexIxogRBAeH0C61LYnxSkJBIDAJI7m5ORzO/pEDhw6xddt2rp0yhTdeexWPx4vL4aJVXBwAtdXVZJeUMGniZcTEqm0Go5FlK1cgNY3kxCQiIiLYvWc3c1+ay31/vofYmBisZjOpKSlszsxk0aeLOJCdTevWrenRvTsul4vs7GyenvO0XidFavI4nRgAm9nKiu+WMXL4cNxuD0cLCkhITGTb9u2sXL2a5StXYA8K4uqrriIkOJiPP/mEN+e/zcZNmTx0/wOkpqYyePBgjhWpyKRgu51TJSeJjY7hsgkTWLlyJflH8ojUva/B9mDQNIYNHkLZzbcw7815JMQn0L5dO6Kio/C4PfTs0ZPjR4/i1CPSIiIiwKdhNpooyC+gIC+frP1ZlJaWEhcbx/iLL2b//v0UFBby+eLP6Z7enVtvvhkDEBYaSqvYODxuNwP7D8AkDGheH5pP48eDB/ns00/5/PPPCQsNIykxiS6dO3Ps+DGOHz/OihUrWfD++2zatInIiAgOHzrEJZdOoKCggLjYWGbcfjs7duygpqaGnbt28dw/nqWwsBCbxUpwsKKnzZo1ixMnT3LxuIsJttv58qsv2bxlM7Ofms240WOpKCunvLycG6+/gWUrl3PTzTcjpaRL584kJyVRXV3DipUrWL9hPd8s+YbBgwdxorgYm8VKpw4dueTSCZSXlzN48GBSkpLZmLmR9Rs3UFamggUHDRzAwAEDycs54ue/EmwP1lUVQChx2gC/GVAZNM7hga2oqGDs+IvZtXs3vXv35vrrr0eTkhUrVgC0FUI8IaV8+Pye/NMhVA75TKArsB14HohBcdGWCyFmSClfP0sR58LzKF5aBspYyPsp9W2Ap1Ev+a9R3LlRKM5fB5Sh01JMRHHxlqLy0ndFcfn6CyG6SikDnE4hRBdUX0WhjLa9qOCrxZw7c1dz+CPqw/0FKt3rOBRvMUoI8SXKyP0GxdUdgsq0FKOfg5TSJ4SYh+IwXgPMa1i4ECIIZfwU0wIZrQtpoxBiIvAZajB/ipoo9EVxECcJIYY2WmafjAoKWoOSu3ID3VCyYJcJIfpJKY+do55tUOM1TK/XZyhjry0q6cFLtCwhxlMoHu9WlFEcjho/L6CC665r5rwWjz8hxO9Q/GO3/usPANuM6t8LwSd6/T5FGVqTUEoJ/YQQv2kYwa8jCiUHVoOSq9KoT/xw3vdDCPEoasJVgxq7hSgD2z9GV+rbQRl861Dj24+8szVO59Uu0+u9Xq+zHfV8PoIKRvTjflTQ4ibUmLWh+MuPACOFEGPkBUq7CSHsqOehPbACdb8FagIwCdX/R2hhW4UQb6EmEUf1NlUAg/T2jBZCjJVnyppF6m2rQE0CIlDv5wVCiAQp5TMNjv078CDKWP4ENeFqgxorV9I8D75F+NUbtkajUfEYDQaQEq/XhxsNTUo0TWBuoJnZu0c39v2QTUJCIh3atePQwYNU1dQghFB/H84hoXUbTGYLRw7+yIkTJ0iIjyf3cA7BQUHYzBbe/eAD6hwOZtxyC4P69Sc/P5/8/Hwixofy1dKl3Dh9Ols3bSE0JISS40Xk5+cBkJubyx9mzOBU6Smun3Y9Xp8XIQyYdY1aqfmQXh9VFVUsWbqUY0VFjB11Ea/PfQnp8RFksVJYWEDRMeU0KCo8Svt27Vi9fCWJSUrqrqCggAF9+zJpwmXU1dURHR3NhHEX83+PP8pb89/mt5deRq9evfh++w7emv82B7Kzad+2HS+/OJclS74mJTkFKeC1N9U3xeV0YRQG3C53gN5RXV7Bzu07iImJJTklhcxNm1i3bh3LV66gdevWXDd1Kk8+OZud339PTEwsK1etYmPmRr746ktuveVW8vLyaB2nFGGsViv7du1m6tVTlK6vT1JVXhHwYNrMZrxONxePG0dtdQ3z3pxH17Q0xl40mvT0bhQWHiVj1Ehef/U1UlKSKcjJJTIqktqqaiw2K+Wnyig+fpzuXbtx43XXcfKk4lV3T+uKw+HgqyVL2LpjOweyshg0cBDVlZV0at+BN15/nY7t2zNsxAicdQ5MBiPlpadYuWoVBoOBe//8J5CCGXfM5IV//pPq6hrCwsJYuXwFwcHB2G02pt88nYKCAmbePoPIsDDGjR1HeHAI6enpFJeUkJiQyMb1G/B467nb5eXlzJ/3JjarjV69e9OtYyeefXkuny1ezMihw3G73cRERvH9tu3cPnMmZpOJu2f+AaRkzNix1NbUkpCazIhRI7nzrjtZ9u1S+vbszerVq5k+fTrl5eVM+d2VPD37KRYtWsTwgYPYvXcv895VqlQh9mAKj+TRqXMnklOVc9Lj8SD1VHEGYcCoZ/4TupPSgOE0GlBT+PM997Br926efPJJZs2apUxig8DpchEREloFPCSE+FSeqQl6PpiD+li8Adzu/yAKIeagIpBfFEIsa8z/aymklM/rxnMGKkf72p9Q14YYhJLRKtDra0JFg48SQgyQUrYgMyOgjO6LpZSr/BuEELNR3rSbUAaMHy+jPrQzpZSvNjj+Ei7csB0D9PV7h4WSF9qJMqguQwUIrtP3GVAf+/FCiF4N7vs8lPfuNhoZtqhgowjgSdl0WtLGOK82CiFCUIFMJmCkbCD3JYS4H2U4voEy2P14H/hnE96pcagJxsMoo/hs+J1ez7ullC80KieYeqH+c+HSxlQVvZ/nA9OEktlqKoVki8af3j+v6/UZLqUMpJMVQvwTFRDWJHSe5iPN7E4Dukkpy/Wy/oIyTCeiDMvGwXDd9W03NWE4ndf90Lf/FWU8DW/C6E3U6/+FEKICZeytbSnvVCjpuEWo+zu1Ca9kY43amUBuY2NeCPG4Xnf/xOJCMBpl1D4vpfxTE/W0Qsvaqnunb0JNEqdKKR0N9j2C8ujfgZpUNUQPVH9M8a8gCCGeQinI/F0I8ZmU8oh+7G2oCVq6bCSLJ5Sk4U+C4dyH/Luhh6MEkjWA0u406EE79WP/0gkqO9+mLVtp27YtN02fzuGcHLp26cLvp06lrLyM5LZt8Xo8eHxeauvqGHPRRVx2+SQ6d0nDYDFTXFJCv759efDBBxl/yXiuue73dO/RnYkTJjBk8GAOHT7Mps2ZtG3blquvmULPnr0AmDJlCr+9fDJ33XUXnbt0plPnzvTq1QvN59XrbeBIXi7X33IzJSdP8uhf/8rLL76IJjWkHv0fHh6O1WYFYPCQIYwdO5b07un06qWuERQUxLNP/4Orp1zN0GFD6dipE1dfcw29e/biVHkZV18zheEjhpPWpQteTU387p01i4GDB3P1VVfTpUsXRl80mrv/eKeqE2AUBox6X0qfxuWTLqdf335ceukE+vXvT1paGl69DTNnzOCqq65WSgsREUyaNInHHn0Ug8HA1u3bSe/Rg169ezNsqNLVCg4OZsCAAXTr2o3OnToxefJk0rt1w2RSHkKX04nb5ULz+gi2BwXaOGL4cNqmtmXggAFIn8bJEyfIGJFBsN2OyayCqWqra2gVF0dqSipup5NOHTvRq2dPfF4vV0y+gowRGVz1u98BcKyoiPbt2lFXU0v2gQOMGTOGDu07UFJUjNPhoKaykk4dO2K1WDGZTPTp1YdBAweCJklJTuGaKVMIstmIjIhgyJAhbN6ylS1bt9KzR0+6du4CUk06xo0dR1JiEgP7DyAyIoLevXoRYg8mNCQUgN/+ZhIH9meRnJyM1DQ6p6Vx7ZRrVACcz8eQIUMoLinhw08WUldXx6gRGSQnJ5MxchRRUVG0iY+nS6fOTLvuOnbt2sXq1atZvWoVRUVF7D+QRXJSErfcNJ3wiEh69uhJXW0dA/v1p3vXbgAczD5IXGwsZpOJ5cuWA2AyGSnWPeya5sPn9aLpwXSA+r/W/Lf31KlTLPjoQ/r17cs999xz2j6bzQZqxi9QS1QXBD1A6/cor8uDDT8MUiUveBG1FH1mZNy/H4/5jQoA/WPt178dcB7lLGxo1OrwSy4FytE/phehlkJP82BLKZdypqhKU/dIAAAgAElEQVR+S/FiQ8qDblx8jPqGfOM3avV9GuDP+dyzwfYilMeor04JaIjbUEZVY4P3DFxgGyehUrl+LBtp2ALPorxVY4UQAW1eKeWxxkaUvn05sB/lCW0pHI03SClrGxoNZ0NT/Gu9n/3GRXN1aen4m4Qy0D5saNTqeIQL55c+7jdq9es7UZ46UMZTY7hR9JrGRu2F3I8/6r+zmvKst5RKchZcBqSipLSakoYrbPT3kSY81KBWi+D8xlNzaGqcueX5SS3ehVJguamJ8fk4aoVhahPn+YD7G9JipJS5qPezmTNXFTzUJ9FoWN+fqijy6/fY+iGUWj4mITGbVcYjo0/qMmDqmD79DdhsFtZtWIbJdgXCUcO+H/bxh5lXM+qiVP72GGzd8S2pbTU2b1fZpoYNT6NVGy9SejmSp1ZbRmb0IyiolvLyCnyapKK6kGEjLiPv+BA2bd7M3n27GDlqKKltk4iOVWmvhwwewpDhw/B5vbh0NYK62lpMFuWxPZRzmIvGj6euro7Fny5i6JAhhISG4nY6EULg9fmIiImmTXw8AEHBdlrFtyGpbWrAsOjQvj29+/bB6/XSJjkJEHjdbjp0aM/O3buIT/IrEEBBYSEGg4Fp06bhcrnp3bcPAkVnMFuV8WwNslHrdGCzWpGaxOl00H/wIGoqqzBbzAizidbxbXjgIfUemjx5Mh06dsTj8ZDati11dbW079iBhIQECgsL8Xg8dOueTpBFlW80GuneswdSSqxBNhJTUyjIyyM4WAU/mSwWImKi8ThddOyiZCXDwsPp3bcvHrcbieSzTz/j+htvIK17Os66OgQSg9GAPTSE8OgoBhsNZP94kGWrV7JmzRqO5ObywF8fpuH7o7aulp69e+HxeikvKyc6JhqTwYhP82ELCsLr8RIaEc7NN93EXx99hOkzbmPipZdSXl1FxuiLiAwPJ7VDe0xGIwYhePPttwAYfdFFVFVXccWVvyMlJYXgkBBqqqoJsgeh+TT69OtHz969+eyrLzh46Ef+NGsWdrsdq8mET9MYPGwYh3LV98oWHETX9G4ktU1l5h//AEBkTDQ5BfnkHStE82mYzGY++/oLco6oSW91bS0TJl7K8uXKSB06dCgDhwxB8/no3bcPHdO6YLMF8e3yZezL2k96ejoXT7wUr8dDfHIy/PlujEYjEZGRVFTpaXJ1BYSGgWBnIyJs37FdBacJwWOPPVZ/Zr1cn59jm9bsw31udEEt72VKKcua2L8a5fHo/ROu8a9CYyMB1HIoqKW7n7ucXvrv5sa8Sx0bUd7X80VT1/cneWgqm5HfkEhstP0VlGfqNhR/D6HE+AcBS1vocb+QNvbRf1c3PlhK6RVKUzQVNYb83k2B+oDfgDLQIzk9i9VpHNFm8BXwJPCyEOJilCc7E8hqxshpEkKIaBR/cgKKchHc6JCEM05SaOm48ffPukbHIqWsFELsRq1mnC/OKA/FDffS9POaJ5tJynAB92MQ6nX03flVucUYpP8uPetROnQP/V0o+cBOKF5pw1drc/ewJViHeuYeEEL0Qa1aZAK7z4feoFMaeqLk6u5uGGvQAC6afp8X6IZsY6xFeXkb3u8FqInHfiHEIr3+m5vifV8IfvWGrQEDRj0jEwHdTInUJMJoxOmuH8tHj99Kejp8/30e6zPHsX+/SgKQlPIRPvkRMTHw1ZJ/0Lf/P1i6TBUXHfsXdu/7CwDZeo4at/d1fsiudwRkjIZq50s4dGr3j4cfYfv3j6hr6nM+h2smGzLvQKXwNaCyZRkoKlID4+DBHVRVSTp2NGK03Mr+g0bFbZQCYTDhz0pVVqEmt3mFdxJ9MASJQMVdgNmSz4FD46hnx6osXnVOVfEj+TNw+0KQUlBZVUFYmJnsw1MxmSxomsRkMuP1Stz6Qp/D8SPFJx/A59MC1/f5JBaLDRCKXomgokJN+Osc8ygsDMPt9hIUFExdnROr1UZUFBQWQuHRN3B7wjEa1bByuYsor/4Ih8MFUpCVeZD8/AJCw9XKQ61jLUUle/F5fZSWqfHsch3lxKlvMRnNZB/8EZO1iI6dYygrX4/JaKbqlBu7PYTiE3WsX7+BvXt+4PPFWzmSe5y0tPZcNnEUcXExgfTEc55+mbq6StyeEhBGImOMGM0OqqpqiIqKparmJGaTBYPBxJ//fBfxiQm8+uprvD1/Pm++9RZCCIYPH86jjzzKgP79MRgMOJzKaRARGYkwGolPTCQ4NFR5siOVxJwlyIbZZsXlcmHQZdnatGlDZVUV4dHRSJROskGn0gijEVtICJrRQGWl6osFH55dVtRgNBAcGgIGNcbi4uKQgNFswh4SjNFsJiQsNOC9j4iJxhpkw+l2k9I2FVApg4NDQqioAmE0YDCbkIJAmcLkpwE1XYdTp5SduWPHDnbsaOobGsifHnLWxpwd4fpvc3Ja/u3nyrH+70BFE9v83qjzSfV5Rjm6Qda4HH9fNanBepbt50JTHxxvC/aZG26UUq4RQhwArhFCzNI9Sbfpu1vKkb6QNl7IGHoOtQRfhDJIj1HvEbuB+mDDZiGlzBdCDEB5PcejeKIAhUKIf0gpz5lSVqfIbEfxcrehgq/KUH0cgTKWrM2c3tLxd64+LT5XPZvBGeXpfOtTqEQj53Od870fEUB5S73iFwD/WDkrzxoCq06rUV7yH1CrHSdRXktQhl9z9/CckFJWCSEGoTjsv6He+1sqhHgFeKKFFJ9IlIERq9fpfHCusRPeYNufUIFzN6HoVA8AXqGSkcySUh4+z2ufhl+dYdt4DuuTKnjMhw/0JVL/MU6XC0uQjdCwEbjdZRgMMHBgHjt25HHgQCf27avEYjnBgIG9sVok/frlsWlTFUZjZ/btO0DbdhZatUpEGARKtL4cKKeyMgSLJQwpvXoWMYkmfZSV1QFugkPMurGpocalbBBw4w3Ur166DAYPliQlwZtv+rjrrpM88wyEN7zNOvQ4N1yuPOoaPY4+XzU1NWfSqDz6cK2p2UiF/hqz26Gqyk1Z2VcYG30+/WmHPZ4SSkrebPZe+KE7ePnxxxdPSyfcuLzKytmBbGJCQF1dDocO3RY4LiwMuneHj3UWUW7eXYHJgr+Mquq1HM5ZqxcCCUmQm/9sk/VKSoYjuerfxRfDAw/k0DBz4ik9JKO2bgd7fujUZBmN0b4D/ONZlcnshx8MbNwIS5euZ9Llo3jvPTtRUWbKytVkKvvgk9x2Wwg5uS9RnyrYoI8NNVEQwkhNjZoY7D8wDCmh8KjaLqWguEQZhseOP8veHz5CSoHB8AMACz8eSscOoZhMZjQNhMGk9uvXMZnWUFC4murqY3p/fkvhcYeqi3590ykLkTFqEl1y4hNycrMwm61UVAmEgJraXCqr1aDze2c1oKKiUt929tCx8HAVhHbXnXfxzDPPBMrAIEAIbCbzz6Fj6zecWjezv02j46Ceu3jGO043FP5bUaX/tmpmf3Pbf0m8hlpCnyqEeBflhTuGUlJoCS6kjec1hoQQcahEFj8AQxov5eoR4y2CTuG4Wue39kR5k/8IvCCEqJVSvnWOIm5GGbVn6I4Klb73rpbW5Szw909zfdpcv50LrdA94H4I9YKMpv4+NkSTU+gLvB8VQLQQIuhfZNz6Jw0t8bROQhm1p6mnQCDA8HyNyDOgUyum657trii6zh0onrGB+lTcZ4N/HOySUvY565Fn4lxjJ/B+1r3IL6CegThUkOIUVOBYNyFEt6ZoJy3Fr8KwVdma1HdIpbA14vX5QBjAINBMAikMYDTg82n4DAACi82K5vXRscO7gYQJV1+9l5dfHklOzlD27dvC4MGd6d9vKV6vlwkT3uG77+5i8+ZpOBwPcPG4G+nY8RGCg4MxGo1UlK/m+ecncuhQd7p2XYIQIqBDKqXk8OHLgUwumbCYAYNG4fP5+HrJo8CzdOz8NT16DQJUOl6fTxm8EVGFwFCiY67k6aefJjX1TR5++O88+GBHvvrqPSIjw1A0E4nX6yE29nVgHomJL9K9+0A8HhdGowEYht3eg3btnsJsVka101lHcHAQYWH/AFaTkvIKiYnRaJqX7t3/zqZNWZSW3s/gwWmKP+lzYzAI9uzZCszHZutAUtIdGI0GfD4PHo+LoCArTqcDs9moZ76Cnj0Xc+jQLnJzx9O/f2+E0PB4VFm5uaWcPPk+iYmhtGs3FSl9SOkjLOwDTp0yERv7O3w+L0JIhFBtPHLkW6CO0NAxREba0TQvdXW1wDqMxjaEhaUhBEjpQ9N8GAzg9arr+XwenWetTLATJ4qBEkaPTsBqtQf6Ukof+/fXAqdQqY4j0TQNIdQ+lYZY039P/xskISEwaJDGoEFKGGDpUti9u46MDNBZE2zb5mT6dCdnoaACBPbX1p4ZO+Vy+n9/pKpSed47doRVq5Q8WKumfBqN0Fp/bWzffpjjxw+fMZHZrV+2snIZxcXLAttDQ+Ho0UJqqtXKpPCHifl87N27R22TTRm1fjk+AwMGDMBgMLAxcyNqgqcM5pZGxLQQB1ESOr2EEJENOXs6/JnCdjbY5j+mcQAHQHOGtn/J7nw8qb827NJ/BwshDE0s1Q/7pSvUBN5FLc/fBjhRnq8Xz2PJ9ELa6D9nJHCaIakbnP5z/GOoHcoYWN6EEZWo7z8v6LzR74HvhUrFux4VFHguw7aD/tuUBNqF0AOagr/dGTTIUgUglMxerzPOaBkyODNAbDjK9th15uHN4kLuxxZUkNp4VCDU2XAhz74/F/wlqMna2fBL3EMAdIrLftQy/xeoicXl1Bu2zbZVSlkjhNiPMi6jmqF+NYdkIURqE3Sikfpvk/dbp558jkofvQplkKfTNMWpRfhVGLYXBKG8oSprlEZe3s0YDAbsdh9hYWYWL15AebmbMWNMZGffgBAG0tKUa3POnEcA6Nr1IMXF9+uGNSQnm0hNDWfTps289dZVjBvXVk8EYGb58lwyMzNJTY0gOWkphw+p7FdOpwpqLimeT+nJ9fqyvsBoNCEllBQrt2FtzQFOnnyLq64y4vNdyiOPfMu4cRN5551ptG4dqXNCBW634k96vVmcOFGF2WwJ8EV9vlp8voN4vWAwGJFSo6JCQ9NqAfB4TuLxKN7xFVcMYNOmLJ577nMWLLiX4OAgXC6orKxj7lxFORLChNEYpdQbzAZsNhNSSkJCjHoWMkVNuPbaK/j001288cYuJk6cQnR0OHa7okK88MLf0TTJtddOIjJykl4v6N17D2vX7mD37s6MGTMYTVOe9uef/4CiIkVFaNXqdlq1ao3JZCIuzosQwykvb01i4pxAVi2r1RbwfGua1BMj+NA08Pk0evVaDtxDbu5Ypk9/SM+U5qKkpJR5864AIDi4L127LsRisSKEAZfLhcPhIiQkBIvFhqapTGwrV64mIyMDEJjNJmw2K9XVVQgxHfiOLl3eoUePUfTta+Tttyexbdv3rF07i7vuugWPx43RCAYDVFZWYzYL7HYrBoPAbr8J2E2PHltwuRwYDAJN8wKSnTu/AZ4nPv7PtG8/ApPJwB13lPPRRzNZsMDImDH30qdPB0wmIx6PG03z4vN52LIlm6FDu2AwQPv2PoYPf4ENGw6wbt1vufnmkfh8HrxeN2vWHGDPHvVdiYy8nJSUPvh8qoxevT5m/foj5OT8juHDUwkN7Y8QgqdmP0VBfoH/MTurJkJcXBzXTrmGDz5cwN+ffJL7778fk9l82klCZdTSGvKvRL3O5Tmz6kiVXnYBSqboMeqDQvxl34laOmn4Ad2Bsq+vFULM8UfeCiGiOF1BoCH8skvJzez/1UNKWaj37UiU4dhQMWA8F8av/VmhczY/Qnkin0B9aM+9dFR//oW08QvU8v01QoiXpZRbGuy7G2UYrWwQaJWn/w4TQhj9RreuHjCPFn47dRpCvjwzPa/fu1XHueGvy0gapJkVQvSmPhDrp+JL1GTwWiHE3EYBZI9w+jLy+eD/hBBLGqgi2FDaw1AfxNYS5Om/53M/5qIM22eFENuaUEVIaLDtQp79r/V6/UYIcY1slOa6Ufn++o/Uz/Mf0w6l+PKTIIRIB2qaMCqbGmfnautzqMnW20KIG6SUp9FZhBCRQFsp5c5G5xmBOXpf+FUR2qLez170gFKhFFWGAasb8sx1uoY/JqOuwfY2qPHX4qxv/7mGbQNIKamoqJ+Qde8OmZnq/1267KOiQr0LTCaIj4fjx50YDJCauiawXO3Hvfeqf/fdt4ovv4SkJMUfzcxUy/v33lvBqdKXA8fX6HPHqsrPOd4E06Zcn+84nT9w/LhaYh4xAu67D5555hTXXPNPnnsOWunDT6dXUlz8WsAT54fLlUN+/p9ojBpd6vz48b8FvIO9e8OAAbBt2yFGjbqVIUMUzWH9eujcGXJywOXKJi/v+jPKa4zISJgyBRYuLOGii25gxAiw2WDbNsjNVf09Zsz7HDxYb1dMnAjr1sFNNz3EqFHKO7h/v6Ic9OqlvIiHD/8uUHeAtDTYsmUX117bn6QkZSQOGQLt2zdft8RESEiAV199h+3b36FDBzhxAjZvhkGDFAe6pmYLe/aknrOd06aBxaLa07q1Mqb37YPsbOjUCaKjb2DvXmXq3X03/OlP8Pjjz/Lxx8/Rq5da+j96VLJjh4/33rPTpo1Kt+twqIlHVtYEpESnLAAITp1SLtvi4jcpLFyIygUgeOwxOw8+WMqkSf9Hv342UlPNGAwGTpzwsm+fk6oqjfXrO+lUF8Ef/+hh714jjz++mFWrVtKpUxCFhW7Wrq1g+PBwNmyopLZ2FydPFuqqIkamTLGyYQPcccfnjB0bQ3j4Rxw4EMzRoxVkZGSwbl1TcR9n4sXnn+dQzmEeffRRFixYwNChQ4lt1YoipbaQhopevwYlu+OHvxPOiH5uBg+gPD1/EEL0R0kG+XVsQ4E/NDScpZRFujF8HbBbCPENSkt0AspT1lTgyhqUMTxb/1CU62U90cI6/lpwBypw5BUhxATqNV6vQBkwk/jZnernjVdQhm0CSsi+8BzHN8Z5tVH3RN2EkiNapwesFKB0bMeheIC3NTi+WAixELU8ulsIsRz1cR2L8jLvpmVezGuBO4QQ61DPQTlKlukyVBDO82c514/3UIFjzwsl8n8IJWo/EeXpuroFZZwVev/ciuJ+bhBCNNSxTUc9MyMuoOgDKM9hQx3b9igd18ae3LPV77zvh5RyuVBSWv8HHNC9l4UoY28YyuN6g374QRQdZooQwo0aGxJ4X0qZ30yd3EKIK1H6wB8KIW7Ty7Sh3nujqbexvkbd/z/rwZK7UIblRL0vfupkegzwnL4SkI1KQpFI/XPQUEP2rG2VUr4tlGrJTCBHCLFMPyYKRYkZgZqU3N6oDntRSTC+b3B//DJ+9zVQ9ghCKZfkCSG2ovSkbah7mYZSmWiYdGY2Sp7sRpRk3znxH2/YGg0GGtJyUlJeZ/ToVWRmfkJQkJmBAx4hNjaaI0dyOHbsKEOHHmHRoq2kpyeTnj4Lt9utL8VrvPjiMpYs2YXbXYGm+dizx8bmzW4iI+1MnNieGTMySE1VgaQVFWWEhYURGroRWEds7PW0bh2ve+M0NM2HEBJNqwZeJyioG61bXwJINM3H9OkmYmP388ADy7jzTiuvvDKerl3jCQnZBmwnIuI3xMa2QdPUMjm8jdncmujoSwJ8XqfTid1uw2pdDxzhrbeSWLmykG++uZT4eDsvvSSZN28/335bwOLFDmJibFx+eRJXXJHEJZesJDy8NeHh/TAYVCY3TfPqy/1e6qMh1dL8PfdIuncv5pNPjrJiRS1er0ZCQhAzZsTy+9/HY7HoQX1SUQRGjJA880wFb755jDVrHNhsBvr3D+Gxx2KZP7+U3bsrsFo7ERRkDty/Rx5x8sILJWzf7mD1ag0poU2bWLp2DQ1QH4xGg34NVd/QUHjxRR+vvVbFrl1u9u7ViI83cv31Vq6+2sqaNeU659WOEP7kHjJQhqIgqP/fequX7ds1Dh2SbN2qjNxWreDWW2HSJDUx8rNO27SB11+HhQshM1OyeLEPi0UZxFdeCeHhdYFJhn9O6vWeuarj5yRrWhVudz3lrEcPeOstxUfevt3J7t1OzGaIjlaTlhEjwOE4GDg+NhZefhneeAO+/76anTuradcOHn8cKisr2bAB3O586urq39FpaWr/e+9pLFt2gqAgyMjoz8KFS3j88Ya64mdHWFgYq1esZN5bb7Lw449ZvHgxTqeTODVb86ECBVb4j9c5YN1QXowtTZXZGFLKMp1P+CAqAOfPnJ55bHkTp92CCmi4BmUIFaBeoAObucYBIcT1qOxaM/VjQXkVLxT/EEJcgfJw5LXkBNFEBrLzgZQyS++rA6hl0otQH53foj4ck2ia33i+8C9lPiWEeB0lufZbKeUXZznHX8ddQkXa96LlQWMNz/e38UlU+87ZRinll0KIoajMYxdTn3nsNZQs1XFOx3SUqP3VqPFzEqVy8Ff0JWVxeoavpvARKihoCEp5IAhlVCxEZWT6oQVtPS6EGI7S2h2m1z0bNUZXcg7DVggxEjVpO4Oj2+g6n+oe77+hJowSpUbyENCZCzNsr+L0zGPHUB7gp85HFULHOe9HY0gp/yqE2ILyGk5EqUmcQK3ovNfgOJ8Q4reoPvZPlgVKYeM0w1Y0yjYohOiFmnhfgrrP1Sgj9m8Nyq8VKjvfUyiv7XC9LY+jPKQ/dXKyDDVJGoEa+2GoickK4Dkp5abzaauU8g4hxFKU8ToGZZyWod6hz1Av59cQ5XofPI0yQsNQmcT+IU+XQ6tFJasYheqvy1F9loPSIT6NCnMhEOc/tn5+9OjZQ27ZsAGv1HAZJMGYMRZVUFlWjr17W7LKjhEjbLQNjcHl81JnAQRYpNJelVJj5+4YQNCjWzEhYaF8/eVXLFiwgJi4OOa9qShMf334IW67fQafLvqESy69lKSkJDQ9s9mzzz7Ho48+xtChQxk8eDBms4nLLpvI118vYfbsp/jii8W0ahWH2+2mQ4cOLFu2THmmYmMxGo2YzWaEELjdbsrLyzlw4ABpaWlER0fj9XoxmZTygdFoxOVy6VxEQWFhIatWrWL06NG0a6doQnV1dVitVnw+HxaLBYPBgNPp5KmnnuKpp55i2bJlREdHU1xczOjRo3E4HFitVm6++WY++ugjDhw4QHx8PCaTCU1ThptRJ1663W4++eQTbrvtNu655x4efvhhDAYDZrOZmpoagoOD2bBhAykpKaSmpuL1evH5fFitVhwOB08//TSzZ8/m22+/Zfjw4ZjNZn1yoOgLRqMRh8NBcHAwHo8HIYTObRVs376duro6MjIyApxqk8nE2LFj2bRpE19++SWjR4/G5XJRUlJCREQEMTExSCl54oknmDp1Kh06dKCyshKpZ7ZKSEigV69euN1uwsLCqK2txWxWgdiapmE2m/nxxx9ZtGgRiYmJTJ48GZPJhNVqDdRZ0zSlugGMGzeOjRs3UlNTg8Gg9JIdDgc2m01fwvdiMhn1IEZl9BsMgvz8XOx2O3FxsWiaT/+nJjgmkxG324UQSqfX5XLg8XgoKSkmKiqK0NBghBC4XA6OHz9GQkJC4DpGowGPR/G1n3nmNebMeZWvvprH0KF9kXpgpdVqobi4iLCwUMxmc+CairftZePG77niiru5557r+f3vLyYyMhyr1apPaFT7i4qeobJyJR06vElcXBNJjHSubVVVFZGRkdRUVeHzeImIjlJat6DUFBQBGk2fFzUVPCaE6IFKf3qHlPKVn+k10iL8VKPxAq73Drrh80sZtg3KkTRIG6xvW4DyInaRUh5s7twWlv8AypuyHvVR9KD0drNbcG4oSi6sDNU3P5sH+edsYwuu9Q7neX9/abTUsG3ivBs4j/TLjc5dC2TIs6SjvlA0Na5/STQ2bP8ddfi14d99TxrjP9pjK6XEgEBrYJubjEZyDh1m9apVpKak8MHCjxFCeSRzcnLZs2sXmRs2ktatG61atWLHjh1omsa33y4lKCiIu+++k969exMeHk5QUBBff60CdbOzD7Bq1UoS4uMxGgwUFxWxfds2MjIyaN26NYsWLSI2VmXr2rhxI9/v2IHUNIYNG4ZBCKSm4fX5Akakx+PBaDRSU1NDZGQksbGx1NXVYbFYCAkJoaamBofDQV5eHomJiQQFBVFeruJhjh07xvbt2/F6vQwaNCgQyONHTU0Nhw8fRkpJ+/btqa6uJioqimPHjpGfn8+jjz4KwIQJEzAYDAHD2+fzkZWVFTDa4+LiOHbsGGFhYYSFhWGxWHC5XIG+r6ioCBjpwcHB1NbWEhkZid1up7y8nKKiIlJTUzGZTBQUFHDs2DFSU1MRQmA0GvF4PAGjF8BsNuucaYnNZsNsNuN0OsnJycHhcJCQkEBJSQlhYWGcOnWK6upqQkNDseqyDWVlZURERFBdXU1ISAgGg4GKigqysrJIS0ujZ8+eVFdXEx4eHphgaJqG1+slKChIN1bVYPLvNxgMWK1KtstkMmE0mhHCoBuuqs4Gg4HaWh9xcTEIYcdkEvqkxKgHHgpCQ2P0/5uwWsMxGr24XNVYLK0xGIIwmUx4vQ6czhqMxnhsNrNupGqYzZo+eVKayRZLEnZ7vYxgbW0tP/yQQ9++acTEJOD1enV+shVN07DZqvTzEqipSSY1NR2LxQLUB22eOhVwXvwSyEB5Un/yzPw/AA+iPCPnlAT6uSAU1+WMsEMhxGiUZyjrZzL4JqKSZoyVUrZE07UhZqAk4J64EKPW30YpZXGj7T93G8+FX/z+XgC2obzY5yt8vxi1otKcRNr/rziG6s+fRXP1f/j58Z9t2OrarG53fTBtUHAw777zDrm5uThdbk6ePMmgAQPYn5XF0mXLGDSgP3FxcSQnJ7Nt2zbef/99kpOTyc/Px2KxBLyffsPAo2tpSQlOp5Pk5GROnTrFDz/8wKFDhwgLC6OsrIyamhrWr1/PlL/xLIQAACAASURBVClT0Hw+TCYTUVFReLxerBaL7jU14NONW/+/yspKLBaL7kFTxqnH48FsNvP6668zYMCAgEG6a1d9UOGRI0cYPnw4tbW1xMTEBOoJsHnzZvbu3cv+/fvJy8tj4MCBJCYmsnbtWnJzc6mtrWXkyJF06tQp4Dk2GNQS/9atWzly5Ag9evRg3759fPPNN8TFxTF58mRatWoV8PwKIfjwww+prKxk8ODBOJ1ONm/ezNChQ+nWrRtLly4lKyuLCRMmYLVaWb58OUFBQYwcOTLQB3a7ncWLFweMyeLiYg4fPkx5ebnyCtbUsGnTJjZt2sTEiRPJycnh7bffZsiQIaSnp1NZWUlRURFJSUlIKfn222+ZMmUKRqNRJQ0Atm7dyrfffsukSZOwWCzMnz+f2NhYrrvuOubOnUtUVBQDBgygc+fOAU8vQHZ2Nl9++SVms5lLLrmEnTt3Ul5eTu/evRk2bBiapmEymTCZTNTU1KBpGg6Hg+XLl1NVVUVSUhKdO3dm9erVtGrVii5duvDFF19QV1fHLbfcgslkoq6ujuLiYrZs2YLNZqN3794YjUbKy8vJysriwIEDDBkyhC5durBmzRqys5UjzH9tj8dDaWkpO3fu5NNPPyU8PFwpFGzcSJs2bWjXrh3r169n69atgfPsdjtSSjIzMwkJCaFbt26Be/pLQUo5FxXY8V8PqbJt/dKGgYV6Ef4OQojnUNSPsSgR+zt+puvEA6daatQKFV0/A8WrvQXVLxfqsbegtGDXoJblvfxr2nhW/Jvu73lBD5w8pxe9ifMq+Z/xdgak0oM97/78H345/CoMW792pn8pU6J7Y3W+qtAkBpOSQRBSYhQq+YFB+PTofUugrG+WLMHldjN7zhxuuPFGACZcMp7klGQ+WfQpWQeyyRihUrY+/OCDbNm2naPH6qlV06bdAEBychLoGbwAHnzwIQDmzVO0hvnz3sDhcLB18xZCQkKorqll0aef8d77C9A0jYT4eLp370F6WlcsRhNenxez0ciqVau59De/4f8e/sv/Y++9w6uq0vb/zzotOekJIZ0kQAZICEXp1dAZBUVgxDKOiL2BigX0dUSxYBnLODqMDStFQUClCYYaeq8CCSUQEkJ6Of2c9ftj7ZMcDgESdN7x/f7muS6uE3Zde+21937W89zPfZN1TRZPP/UUuXl51NTUcHDfXhITE9EbDBhMRs4VFWIy6JEeN/fccw8WiyoUnDBBKRF++qkKeNkttYoSTAt8WKqrsNbWcPDAASqrqli8eDGg0v5t27ShZctU/jVzJiEhwWSvXMni778nZ9Mmzpw5g91uJyI8nBZJSTisNjLatqW8rBy7xUp6ejr5+apo+Nprrz3vHk56+BEqKys5dvQoe3bv5qZx47Barezdu5eAgACuvvpqjh07RlBQUJ1TX11dzfHjx6muVhV4xcXFHD16FJfLRXFxMYWFhWRkZLB9+3bi4uJ49dVXCQ4OZs2aNaxcuZKlS5dSXl6OTqcjODiYtLQ00tPTSU9Pr4tEx8bGEhsby0cffcTGjRvrYAXLly+nRYsWjB8/nqCgIAoLC0lPr4+CXnVVfW3R559/TkxMDH/60584fPgwffr0ATQ5YiEoKihgc85GBgwcwOOPPoZbeigvL8dkMpHWujVPPfEkOevW0ypFQTtWr/qZo3l5vDj9RR6dNInEhERGjBhBwZkCLBYLJ0+cZPSY0bRu1Rq71UbpuRImTJhQJ9zg3/drf86mZYtkUlsks2HtOk6ePEllaRlHfznMJ7NmsXWbYu7wQlm8Nu+beWS0b48Hid3hZvZsWL/+eU6efASDwUCHjh144MEH+dPYsegQdZAWIZUEtMFgwJsuEUKpAQ4aPJh169ZRVVvDG6+/AZAphLADc7xpO6HoeaagCrkSUVG/HBTOcZvvtQkhElBFRsNQRSdRqMjTGm173yID7z4C5dg8oO1Tioo+Peu/7aVMCHEGxeaQ5Lf8JKrY469Syuk+y69FFYJMl1L+VVv2GQ2kqq+0jULxdd6LwqaaUSnRr1E4Yy/voxOFG30YxSH5CKrPDqNU3BosVNEKRrYDP0opR16iDd5r8v7fmzM76QufEELcpLWhE8oRPYnCatpRVD6PSI26yQu/QOnNT0PhqBOBly+SPvde40AU7jQQ9RnxoJzcl4UQ/5RSXoAFFPWMHEbgKRQeMBmFvZwNPNcEZ93bF3X31zdVrV3LDBROMQTFwzpNSvmj33FMKDzjeBReN0Brzx7gPSnlKp9tJUqp6VZURf0wFE7yIAq3O9vv2Fk0AEXw6YcA1PN4G0p9bY6GHR1PA1AEn3uVgRIEGIcqyDqFYii4gHVEG+8TUQV6rTh/vO+By0NvfNoDcI3PuKOBa/Mfe7moe/uW9ONH9bmeTsDLKJx2MxQGdiaq/32r91O5CBRBKOWuR1B8rG1RCK5TKKzry/JCdoz/2r/BfheOLdSTw0uB+lhq9FdCpwjphRDgkbhdLlxOVTkeqL+w+Ut+/JFnn30Wh8PBvv0HiI2JITUlhc5XX803385n5c8/M/nxxziRl0ebP7ShQ4eO7Nm7l2UrfkInBJMmTgQkERERSI9kybJlrFu/nuFDh2IyGWndOo1ffjlESkoKOTk5HMvLY9vOXeTm5ZEQH8/1I0aSfyqfw4ePcM+99/HLoV945KEHiYmJwV2HtYWcnI289vobtGvblhtGjgQh0AlBUFAQLqeT6vJyHp00iS+//BIJDBsymMNHjnDw0C8MGzoUp8NBrz69sVms2KxWdDpdXeRt4aLF7N23j8zM9sTGxHDiZD77Dxwgs3173vnbmxw5coSIsDAMBgP/+OADDh85QveuXRlx3XXs3LGD4ydO8N4//kHrVq147plnMZlMRERG8vCDD7Fo8SI2btrEiGuvo6qqkr79+nH0yFECAwIYOnYse/fuJSQ4hKqKSvbt2Uvz5s0ZNmwYpaWlREVGER4Whs1qQ0gwBwRScLqAggKVxTuwfz/xsXHo9HrOFp/FHBBIsDkIl9PFiWPHCTQF0KtHT95+9x0OHjxIRno6V191NS6Xk+LiYnJzc9m6ZQsdMztgsygHdtnSpbz11luYTCYy27endes09u/fz/LlywkPD2fqlKkEBZoJDw3j6aeeYs7cueTn53PHX+6gurqasrJSwkLDuP3227HZbFhtNnQIXG4PDqe6nzu278BkMjFi5EiKis/SPiODzp06ERYWxpKlS7l9/B1cN/yPzPr0U5YsWUJUVBSFhSrIY7Pa6NGzJ2lpaWzZsoU2bdrUTUQCAky43W7Ky8sZN24c2dnZ5Obmctstt9KqdWtcTgcGo4ljx47RoUMHXG43lRUVdNCi2bm5udxz912EBAeTvWY1mZmZpKWl4XQ5SUlOoV3bdkrDTui4795stm+HtDQ3999/v5J+XriQ22/7M3v37OHl6S8ptT8fiUUhhJ+iSv26m2+6iR3bd4ByWj9BfaQRSu7xJ5SDugJV1R2NKiDYIIS4UUq51Oeg/VEf3dWoApEaVEX4WBTNTh8p5R6/18A7qI9oIfAh9dXYPVAfucamzbNRIgLtvLhRIUQa9Y7hIFTxh9cGar8/N+LYTW6jEOITlFLPaVS/VaBkPacDg4QQQ6SULqmokB4RQjwMbPDi3rQPch7KuWgIe9JYBbBFqMK/R32uBXxUroQQr6DS9CUoh6IGVVgCKr09RF6ohGRC9XkUaoxUcT6TRp15r1E7lxVVZb4P1Z/NUJOmL4UQbaWUFyOmn40q4lmmnetalKMbg3J2f62loGAAx1AMAFEoJ3CxEGKwlHK1z7afoYoc96PujRUVEe+L4mFdxfkWCWxE9fksVHHPTcDXQtFMvUHjbQHQDdUPi9Ce1cuYEXWPErT9XKhneAYQ2ADW8n3UJO4Marw7UApZ3bVjNUYVazfKkX4eNUn6zGfdGu8flxh7rwDDtOekobG3CtWPc7X/j0GJCLSlERkAoWiwVqMc5MMoqJUDNXGdgHpm/590bP8dWOpfY78Lx7ahHqmL2gpdPX5USjweidut3OBamx290FFVVeldTe/evQkJCeHtd9/F7XYzdMgQUlJSaNeuHR0yM9l/4AAlpaW001LP1VVVDB08mJxNm9HrdUx56klsNlsdLre0rIx169czdMhgunfrRnh4ODt37sRoNCrndtNmcvPyyGjXlq+++IIWKSksW7KEDh068PQzz/DWO+8QFhrCo5MmYTQaNSECyF69mqeemIzdamXEiBF079697hoLCgqYv2ABbpdLOWSZmdisViorK1XEuV9fUlNSGDVqVB1G1WKx1OEl9x84wK03j+Oeu+9mwYIFJMTFcerUKXbt3k326tV079YNj8dDdXU1b7w2g6TERKxWK/GJibz15pv079+fr+fM4b33P+Czzz9nxquvEh4ayl/+/GfKy8vZuGkTA7KyEMB999/PiuXL2bBhA/v27SMpKYlly5axcsUKMjMzycjI4O/vvENISAgPP/wwtloLDk0GOSAggJ3bt5OSkkJZWRmFBWcQipyY1BYt+Pnnn1m2ZIlyxux2mkdHc/jQIQ4ePEjnTp14792/Y7FY+OH773nphRfp2LEjhUVFipRYSg4fPswrr7xC8+jmfPHZZ/z4ww+Ulpby8b/+xdvvvM38hQuZOPERPv90FiFBQbz84nQ2bdpEfn4+kWFhbFy/nhdffJHVq1czZMgQ5nz9NYlJSej1ekwaJhkh2LN3L6dOnyL/1CnG3Diahx98kD179tCrVy+Sk1rwzw//xbIVy/lu4UKWLV3KG2+8wSefqcCDxWKpu/4zZ86Qnp5Oba0aI96ivIMHDxIZHkH7jPbk5uby59tuY+iwYZSWlBDZrBmvz5jB8GFKQTE/P5/c3Fyuvvpq7HY73bt240cNJ94sMor77rqb4uJiIiIiKDx1mlYpqUx6ZCLbtxfTowfMmzONhPjxADz3zLP06deXN15/gxHXXkeP7g2SCTRo+Sfz2bFnN0lx8SeklE9DHRH+N6jI1QApZR2fmBaZ3QZ8IhTJtzeqkg3EygtJ2TuhorwzqHeYEEL0RjmMeUB3qRGMCyGeRX104vGrcr6EZaOiWIOoTz0O0n5XoqJGQVqq17vOCmy61EGvpI1atGoCKsp1m/RRUhJCTEN97B9CfYgbNCnlCa3S+TohRAcppS8nagjKsTqFclQuahrrwSKtTfhHVEU9e8Up7fqKtOVTtfaPQNFXveJ36HhU1PEaKWXtpdrgZ5mynkrI2waTdh1ThBAzpR+HqWatgfZ+/b8H+IsQYqo/fvcKLAsVnX3Bp12zgeWo61+tLQtH0VjtAHpIP6EKIUSzBo7dEUVddrOs5wydoR3jZSHEAinlsUa2MwXVh03B4Cag+mqIdywKIV4AjgCPCSFe8TqPQjE6PKCt6yE1XlQhxDMoZzKBRjyTUsrdKKqv54ETDUXyf+XYO6b1g13b53nUO+lBIcQ8KeW6yzTxfZRTOxNVGFuHHdeKJXUX2/G/9tva78KxBRX9ERcwNNQJdKrokE6H3qDHaNQhAZNJRXKDQoM5WaAKsu+4awKlJSXM/eYbdDodz097nsTEBDweD3+54y88+eRTzJ43jxmvvsLTz0zFrlXTv/rGG0gpcSPRm4wYDEqswHv+lq1b06FzJwwGA23S2+GRkqTUFO685166du3C+nVrcbvdOBwObv7zbdisVqZMncJPK1dRUl6OMBqw2G2ERSg1z/btM3jp5ZfqFNOsVisejwdLeRkx8XE8PPERiouLiYuLQ0pJ5y5XY3/rbbLXrKVzl6sZOGAAdrtdtdnlxmQOxMuP+uL0F3jwgQdwOp2ktW2Dx+Oha48e3Hvf/YSEhdGnfz/Q69AZDaS0TMVkMiF1ApfbxQ2jbyQqKoqpz0zlvfc/IDqmOW3T0/Gg8MsOp3JKWyQnM2TIEGotFgYMGkRiixY4HA46de7MgKwBGA0GnC4XoSEhdMzsQFhYmMIC2xW9msftwWGzs3D+AkaNVUIKE8bfSdY112Cz2TAHmWmZkkp5RTmtW7XGYDCQEBfP8RMnAEhMSKBtm7Z8//33dO3SlbZt21FRXkFkWDiBAYHYLFY++vBDXG43b854je5duiJdbiwWC61btuL+e+/HZnewZNlSpEdit9rAI5Faar1v7z6M/8sdJCQkEBUZqSYYGe1JbdkSh92B2+FAGPSUlZYyeOhQbhx9I2azmZdeUve0fYcOrMrOpn1mJjdcfz3zvvmGz774nH/N/Bex8fG0bKnYgeITEggOCqK6upouXboQFRVFv379+McH72M2mxk+fDjLly9n165dBAWZ1WOhE5SXl2MOCsLjdtM+M5OEpCRcLhdBISG0iosjrU0bcjZt4qvZs7nq6qtZ/OMPhIWG0qNbd5YsWcKmnI2M+dOf2Ld3H4sWL0IIePBBMOh04Fbv45hm0Tzz9BTue+hBPp01q0mO7fMvTCM6Otp/8XUoZ+JNX6cW6iiNXkdF/wYBS7XlDUaPpJR7hBDZwFAhhNEnAuONtL0sfVRzpJQ27eO22v9YlzBv5HUQ6qPl/bsY+DsKz9kX+ElzPjqhSP4vFxG+kjZOQkXFJsgL5UGno9Kut3EJx1azf6Luw734CF1o+4agIA2NVQC7mE3Qfl/ydQ6llC4hxGRUZPRuLnQuQOnEN8Wpxd+p1ZY5hBDvo6Log2g4Qv20X//XCsWo8FeUOl1jJX4vZifxo4qTUq4QQuSjIpV1i1HxHTsN8AtLKUv9l6Fo9J72dZ6klMeFEH9HTXJuR0U3G2PPNdGp9dpE37EopSwWQiwG/oKKcnqpzLywlZelD9m/do+mohg1fiv7NWNvqi9MQSqKwelocAwU+0eDJpQs7DhUxuAJ6VcQ6T8x/6/9e+1349gCIER99NaLRpDKvfU6tiqCqyiF8HipsUx1O+3ePYqdOys5duw4vXvHYLH+D4cPK1L87t2dGI06vv76I/7ylwoCTEYMBhOn8l04nWWA4EzhC+h0eoQwIIQOi1UFX6y27yku3oPHA0Knx+1ys3FTPm63G7u9iClTRqsiKKHD45EaxlM5SQcPrqOs9Ft0OgOlZUo2tXOnOM4WL8Ltlhj0RozGABCKk9di0eFwuAiPCKOy8hhOp4uAgCB0evVOsNQepaq6GR63eh8GBgZRW2tFamIdPbr/gcrKPEymQALNZjxuD5GRijmgpLQIvd6JlC4kHpwOF+/94x8sXLiYvLw8qqur64q5ACoqKjWFNRsGg4Gg4GAAwsLDCTSb6+i+OnTsiNFoREqJKaY5Br0eu8OBKTCQDp07ERAYqKjDnE4QAr1Oh06vx+lwoDcoCEVMfBxBoSHEJiXicbuJjo1Fr9PhsNsxmEwMTUrE5XQy8+MPWbJsGYOHDaF9Rnv+NHYsLpeT8IhwHE4nLo8bU2AAW3co8Zzd+/Zy6MhhhIbt3bZrBwaTieKSc4oJ4peDdO7UWcFEtFT7tSNHYDIacTidDBk+HJfDQc8+vRFCYLNakUKp3gUHBxMbG4vVaqVXz160adsWq8VCRkYGAwYMQErJ3r17AYiOjiYlJQWh05GRngFAy5apmgKaiT59+qDT6UjVnN7IqCgyMjIIDg4mLi6uDitrNBhBCMxBQdhtNvr06UNwSDACwVNPPYXBYGDhwoUMGDCA4cOHs2276oerrrqKoKAgxo0bB0LgcDr45ZfDnCspITbGTHLyhXLqWddkqT706vI20rp269bQ4l7ab4oWZfS3P2i/6WiOLYAQ4joU/rArCrbg/96Kpr6Ax6tv3pC6xHoaLwiBlPKkEOIYMEAI4SXMzkJFmdZqxxqESskOQDkn2Y04dJPaqOH2OqFSq4/6wkF8zI7qt8vZMlR6/3YhxNM+0eZ7aaIC2CXMe30X9IWU8ogQ4jTQUggRIc9XNbKhuGibZEKIZBQv5iAUTMTst0niRXbd3sAyb9FdZFPb0YDtvsgk4RT1zwJSyiohxA8o0YbdQogFqHGwxef++Fu+9BEk8bE1KMe2IQGSi9nWJmzrtUopZW4DyxvqP29bGnJgN9OEZ7IRdqVjz4WCdvjbGu33cv3ZDRWRXdfUidl/7be3341jex5er448X1vndXc17lCPR31j9EJHoNmM01kfIKmqWsLXX6u/Bw0qprT0m/PO06sXrFtn48cfv+Saa+qXe4nyi4vPL9b2KmOdPfs5p/2SWXlanGDfvgL27bs420tp6V6On7gHAA1Oit6QTW5uY76B9Vasxa5OnX6MAwcaOo93/Sicfq8Kb9uLit5m+463AaVE9sgjSlmrZUvo1w8iIgQGg1LR+vxzNyWl2ezem4x6ZgWnTyvn58jRWwkNMwN6DXepq/unfAAdOp1BEykQ6IQehB69zoBHqnvq8YDBGIDVpi7m+ImpNGveHKRAIpAeMBhNSCnweKQmUyz44J9t+ecHdlb8dIS9+/YxZ95cgoON3HBDGx5/rDcBgXpMxkDOFav37t/efuuS/Zp/+iuSUrbgckkcTtVRZ0s+xu2WgB6TKQCHw0lAgBmPGwwGo4KBa+07clRldCMi3Zwr+RGXy6O11wjoSG2lggBl5aeptW7HZArE6VTvf6fzDNXVezAYAnA4PAidntIypUbmcNSwecsP5B7Nw2g0ER6u9AKc7ioCzS6stlKcTjfBoUGAC4QeiQ6bw45beujYsSPGABNWm7pnbo8HnVF75IXAHBBCdJxihYpubgasoBOgr8+YxScmAFBZcZ6q4mUtzl82T5k3pfqny+we4v1DCDERFYUsR6X/81FyixKF6euEKn7xmlf68wIsm1TE5A1Fvy5lP6Mq+K9G4QCbAz9LKauFENuohyYM8tn+ctbUNkainObm+JC+X4lJKT1CiSnMQEWYZglVNHY1sEheKFJwJea9vouxBRSiHNBwfHC5QLFvkU5jTChJ0q2oPlqPmmRUopz0VFS0MKChff0cG69535y/BVXIxR4aFxempcehnPNbqY+02oRS7HqigaKji2E1vVHKpkjgXgnk4lLXBuf332/9TF7KrnTslVxkEtLY/ozQfn/PtG//v7Hfh2PbcAQCXyiClLLe8dUyNx6PR4MkBJCS8iUmk4GSknI2blTSxNOnK2Wlhuynn9IYP/5BHA47UnowGBTWPjHxMcCDEBK320VoqOIej4q6idjYJG25E50OkpKOA0u4/fZMpk7tjdvtRD0byjGX0q2peWkBZo+bkJCzQA5m8x8ID29dt51X4UsIicvlRKeTdapjKqvhwWg8A5zFZErVeFc9551PpzsL1GIwxCq4hrZOSjc6nQOoQQgjOp0RKT3k5Lj45RcXw4bBlCn1fQ6S0lL4/HM0EYB6xhevmpbbXYajqcyVDZlVOdgANbXbaaz/dPc96l9BgZLn/fFHJ7NnH+DcuQM8owgsCNB0o378EbRA80XsYzSEAzblU3LixKMX3drfvJOf06e3cujQDZfYcjeHDysZ+1Pa6+9k/nT2Hzx/kHqPZ7XuBDGOtDbq/6u1+N4vv4whMJBLWmys4OxZHcXFOo4eVcsKCt9g87Z/oCYjavJhsapnqrhYcSR7BHh8PrkFZ9X3ISy8aVLxF4kqegfSDVLK7xtxDAPqI18EXC0VtZLv+l4N7OY9RywKM+e7vR7lXDfl45ONcmwHU1/Qle3zO1UIEYVybCsBf/30hqypbfRuv0tKeTW/3j5F9et9qDRrY4vGGmve9sahcMT+Fu+3ndeuRC3ocVR/XSAiIBSDxB0N7fR7My2lPw2YJoRogSqaHA/8GeWg9/PbJfYih/LOKBtN09XUycQVmFcB7rd6Ji9lVzr2ooUQ+gac28b2p/fLdbHswH/tf9F+H44tWgGZxoSAELg9EoFAoMPlcSOMOtDpVERJ55VVVVFevV5PaOhQzGYzH3/8NxwOF507d6JDhw7odHpcLhd6vcLjulwuVqz4iU2b8igr60/btm015amZCAFxcZM0qjHFOau+5xuIivoz8fF9FN2RVlh27bVl6HTLOHDARGLiawgfPlgp5XlUZDabDZ1OR37+OiCHiIgbadVqCkITK/AqYJlMJmw2W52amVfIAQTx8a8BL5GU9C7p6dcghKjDAgNERt4DzKF166W0a9euTnwgMDCQmprVwLXEx0+mc+cp6HQ61q59C5jGhAnz6N79OmprawgPD6W2tprvvlsIPEBISE86dfoGvV5J0a5c+TbwNi1afEL37gOpqalCr9fhcjkwGBRMxOl24nI50OsFBr0ei7UGc2AATqcdDx50SDzSjcftROgEZvMU4ADxidNonZaB0CmHWnpcSOnG7XGh1ws8Hjd6vVATCI8bKT0ktXDTp5+eu+620bXLc2zcCAmJf8Vg0NGt+yKOHNlCQcHNZA1I85kIeBBaGwQSKTxItxuEh8DAxcAZoqMnqIkJHgx6HU6nTVGqoY7hPZZOQFiYm8DAZeTlgRD9CAnRodOBx+MCJAcPHgdO0759IiEhCXg8LqKjK4DjlJc3x2xuDtKD1I69Z08NcBadLgCTKbrunAZDDSpYGYxer6+b8Hivyft/7+QE3NqkRj1jbrcTt/v8YmCTERISoLBQcvo0tE5TjCMejweP9LB2rYKVXXXVVRdzVutMXt4v8crn9kNJYV7OolGRkO8acGpDqE87+tpObfk1+H1EtfM29Z2XjerMQah0/zGfFPDPKLqi21EwisWNxKc2qY1SyhohxAGgvRAiyhcXeiUmpTynRQJvE0pi9hYUy0FDssRXYrtQ15eFn3OhsUokAccvEjFtqqVpvw1Jql7TwLLfvUkpT6HYDeagihb7CiGa+WFtk7UiyxN+u2dpv7v4/dguVCq/LxeO9540/Zn0cPGI+pWOPQNK3nW93/Isn+NeyrZq7eovhAj+LxzhP2u/D8dWgpCARyJ09R9WoVOOokdqGFsBUuO5dUuJQejYtfN8KNQnimaWe+/dQ3q6PwuQMp0OvvwS/va3rtx9t1rmjT7uMdTlMgAAIABJREFU2BFx3rbe6Nn69dcTEsIFNmgQrFy5k0cfjeS228Cf676gQJ0vXpsneuELRUWvs2vXBXR/l7Qqbd6bk3MDYWEXrvdCEQ4f7kKl3/zysKbBc+bMDHbuVFym3kjp/PnjiPHRKTpzBp7V2DRrajazZ0897aVWsM/WrXfRrIFa3aIiuOUWiI2FuXMbd11WDdpZWDCNvIZQWz5WWKiiqi39lNlLSsBuh9BQOFOgGj90CMybC9Onz8VshhYtzt/H6YRDh6Bjx/pl3kjovn2f1t2zxtigQbBkCbz77homTqxfXlAAc+aAwQBZWQXU1KjARGqqGhfLl59j7NhzdeetqoL3tTIlj8eOw1EfyPCOv8LC2jroTGPMO1bOXiR5+cc/qudm5kyIj7+bvNy76d3bzrmiYma8+ioA4+8Yf8F+ClOuYCUSzo+3NewEL0Z9bB4SQqyW59N6abuJXsAeDVtYjPLkuwghQqSUNdo2RhQ84YLqNBQF0N3As0KIxT4V74Eo+dcmmVYQcwDog0qz+o7qjShcqJYjaBS+9krb+BaKNu1TIcR4/w+zUFRDLaWUjYkYgyoiuw2Yh4J+vOJf8PIr7FPgLuB/hBDfSynPaW3UA2+i0vCf/EbnOqH9ZgE/eBcKIYah+vh3b0KI5kArKeUWv1XBKH5aFxfSv+mB14QQt/iwIrREsW24gAv4e/+D9gWqqMs73iuhjrmioSKuy1kp0OIi637N2HtVCDHIhxUhCvgfbd2si+wD1E0W56KgJG8KIfxZEUIAvc+1h6Oix5X+k/b/2q+334dje541wIzglTr1y5j4ysiCSkmfOgWtWkH6Jcoorr0WvvoKli+HO++80Bn1tauuUg7IRx/B8ePKcQK4/Xb1O2mScl5mzYKVKyEzE6KilKOVn6/wq889R5OcpCttS1OtVy9ITIRvv1XHS0tTON5Nm6Bnz4Ydocu1wQtV+HeJWeXlqf5s00Y5t82aQWUl5OQoR/3mm+u3TU6Gp56C119X97l7d0hKUtsVF8OOHcpJfvppGD5c7XP11bB2Lfz1r9CjBwQEKCd96NBLt+vee2HfPli4UN3zq65S7VqzBiwWmDjx/DHQrJl3UgT33KP6u7YWtmxRjrYXPuBrV3r/szV36+efwWiEmBjldw4ZAnFxMG4cbN2q+vDuu9V1f/vtY8yfP5/i4mImT55Mnz59kJ5f5/dIKZ1CiNEo/tolQoiNKG5KC+pD1Q1F3h4PWDQ86N9RPLb7tIprE6pQKwrFHjDA7xw5Qoj3UBX/+7XIZCyK4/MMV6YS9TOQ6fO391x2IUQOTcPXQn3atbVPG708tuX+bRSKYP8TFPXQDUCeEGIFCm8cBbREpa5noYrsLmminh4sT2uDk99Q3lhKuVEIUYVKoXuvrxZFy5aJKiJqCs/qpewDVMX6t1rRVYF2juEoarlxv9F5LmbDL7GusxDiKArTaQJulIoqzd8Sgc1CiEOoaP4pIAxFTRWHwpZXCSF84RZ7UZzHO4QQP6EwoONQGY6nGmKK+E+ZlHKtEOJDVIHiAe0+OVHFcpWo57IpL5efgZu1grsdKEd+nZRynTb2XkfxETdl7BWisNj7hRDfo7h1b0f1Z7a8PNUXKGaSTNQzmKU9ow7U8zkMxdu7Rtv2RtTz+rmWCbtAxOX/somLiHs0Yj8JrJUX8iA3zbxO43/yX4eOHaWlqlJWlJfKc9XlsqaqSlbuzZXntuyVNZZqufHYfplfdFp6KqqlpaRUllaXy+LKUllVVSFXr0auXo2srCiTN930JwnIGTNekeeKi2RVZbmsra2WVZXlsqqqQpaVnpMlJcWytPScHDhwgATka6+9Kjdt3CCTk5NlixYtZGlJsbTUVsuSc2dlZUWZtFpq5D8/eF926NBBBgYGenO86nhlJdJms8jCwgL55ptvyG7dusnQ0FBpMplkUlKSjI2NkYBct26NrK6ulBUVZXLp0iUSkE8++YS0WGrk3r275ezZX8lTp07KmpoqWVp6TtbWVsvS0nOyoqJMVlSUyeqqSllVUSnLSsvkxx9+dEFbaqqqZUV5ubzu2mslIHfu2CktNbXSZrFKu80ma6qq5dIf1XknPz5ZVpSVy9rqGllbXSP37d0rx910k4yPi5eBgYGyXbt2cvqLL8pjeXkSkL169ZL5+fnSarXKmpoaabVa5cyZM2VmZuZ5bSgtLZVLly6Vb7/9tgTklClTZFlZmczLy5NVVVWysrJSnj17VpaVlcmamhpZXV0tKyoqZHl5uezdu7cE5LJly2R1dbV0OByyqqpKVlRUyNraWllZWSkXLFggq6qq5JEjR+Rjjz0me/bsKWNjY6XJZJLx8fFy8ODBcv4330qHzS4ddocsLjorHTa7LC8tk5s3bpJ//vOfZYsWLaTJZJIREREyNSVVpqWlSUB+9NFHsqKiQpaVlcn169fLBx54QKampkqDwSAB2a9fP2m1Wuuuo7a2VlosFllaWiqrq6vrrqWoqEg+8cQTsnXr1tJkMsnw8HA5cOBAuWTJEllTUyOrqqpkaWmptFgssra2VpZXVMiJEyfKhIQEaTQaZcuWLeX06dOl1WaTgOzfv790OBzSYrFIi8Uia2pq5KxZsy68/zU10mazyaqqKmm326XVapUOh0Pa7XbpcDjkk08+KQHZuXNnGRoaKrWXh1y6dKm0WCzyzJkzsry8XE6bNk2mpiJNJmRISIjs1auXnDVrlnS5XNJhd0i71SYrysqlx+GUZcXnZFVJmfTYHdJtd0iX3SEddofs37+/BKTN5ZQ2l1MC2/2fdxQB/gwUHZAFRaB+FJiPwhQafLY1oHCUB1EcsUUosvsUVORTolKcEvhM20egPjKHUPCBEm39q6gI34mmvJ9QH2CJ+vjG+K2bqq0rusi+3jam+ixL1ZZt9mnjGRSlWLh/G1HRSInCYI5A0VAVU4872YqilWrnd24JrGmgTdO0de9pv99eyXv7Un2prTuHciSqUZHtAyjoRmBTjtWIdvRGRcvLtXNtQBUW1vWb3/Zr0KClDRxrvLbP+IvdP7/tiy5xfyWK+eJlrc/bNXR+lPP0V+0aCrTxUKhtd0sDbZLaugRUZLZY69+dwK0NtLHJ/dBQXzTyvnvHVpbfch3wGApa4T/eq1EMEo293zEo4YWzqCLBhq7t5qaOPa0t7/vcgzMXuX7v/f2sgWMFa+fZi3q3VaOeAwmMaqBvP7vcGPu/+O9Kxo7v2P615xfawf6j1rFTJ7llw3ocbhdOgw6z1OM+UYzDasHcoSV7i06SaA6nRWA4NrcTa4AOj8dDgE7Pju0KOtCjezUBgYGcLSoiNi4Oj9uN1WpFr9fjdDoJNJux22yYg4Jwu1zo9XoqKirYtGkTERER9O3XD4/bXccp68WmKjovOxEREXVcs4FmM1arFSklISEhWK1WnE4n4eHhOJ0Kw2i323nkkYl88cWXHDiwj1atWmEymSgrKyMyMhIpJXa7nR07dlBQUMCQIUOIjIyktLSUwMBAhBB1eFu320OgKZBALV/tJe4XQmC323G73bhcLrKzs9Hr9Vx73XW4nE6EEDgcDsLCw6msqMDhcBDdvDket5IiNhiNICXV1dWEhIZitVgICAigsrKSOXPmcMed4ykpKaGsrIzExESaNWuG2+3G6XQSEBCAlEpa1Ys5/uKLL9i8eTMLFizg4MGDNG/enGXLljF48GDOnDnD7t27GTlyZF27QkNDyc/PZ9u2bYwZM4aamhoCAwNVUaCUmEwmXC4X27ZtY9OmTTzxxBN1/a7X63E4HJjNitlHh0BvMCA9HsrKyggNDcVgNHLk8GHKysro2rUrW7duJTk5mYSEBF5//XUOHjzInHlz+fjjj7nlllsoKSlhxYoVdO/enfT0dGxaJZler8dkMuFwOHA6nZhMpjpMdEBAAFarlYCAAGpra+vGg9GouJBramoUnMbjITIyEo/HQ01NDWazGYfDQVlZGUVFRXTo0AG3243b7aa6upqEhAS2bt2KlJI2bdpw7NgxYmJiiImJqcO6ms1mysrKCAkJQUqJ0WjE5XLh0jAmQgjcbjevvvoqr776Km+++SZjx44lMjKSEydOEBMTw759+6iurmbYsGHodDq2bAkCoFcvW534h8FgQHok0uPBarUSFhJCRUUFBp2ekNCQui+4RoABAjxaGwMNxh1Syq7/zveHuITEpbY+CBU1K5FXxtf5m9rl2tvA9g22X2iSqLKJqj9CiGgUjONZ1ERisJSysdHmxp7jBIC8jEzq793ERSSRfdYnA0FSU6bzWb4BxdjRTDZSnvcSbRiPT/TrN4tq/Q5MCPEHlHDDXCnlLf+hNpyAC8eqD1ygUGoQgis8/jRUhmSAlHJNA+vjUU51nrxQEe3/pF2s7y73XvitxvbvEIpwvvl58+eZQVef73ba7Jw5dZqqqipqq6o5U1hIZocO5GxeT1VVFfv376dr165UVFSwatUqpk+fzpYtW5g3bx79+/cnIS6eHRrfZ1ZWFuHh4bgdTioqKgiLjOTlF6fTvHlzbhw9mpraWkJDQ3G73Xz44YeYzWbGjh3Lxx9/TGFhITfffDMREREc9gJbgQ0bNrBnzx4eeOABCgsLmTt3Lr169cJut3Po0CE8Hg9DhgzBZDIREBCAzWbDbrdjMBgwmfScLTzL6p9/pnXr1gQEBBAeHs7atWu55557KCsvZ3V2NidOnGDUjTdi1xwru83GokWLVPtuuoljubkc2LcPu91O+/btOXbsGJFRUbTLyGDj+vU4HA7S09NZtWoVebm5nD59mqioKBITE/F4POTk5NC6dWuSkpI4fPgwUkrS0tI4deoUOTk5BAQEsHv3bm6//fY6B6xfv36Ulpaya9cuCgqUfG58fDzh4eEUFxcTFhbG8OHDOXv2LGazmYKCApo3b45er8disRAUFFS3rKamRk1SAgOxWCwYDAbsdjvl5eXohY7g4GAsFgvR0dEIITh65AhbtmzBbrfTqVMnunbtSkBAAN999x1hYWEMGjSIOfPm1vV1TU0NoaGhNGvWDKc2MQgODub06dOEhIQQHh5ex9trs9kIDQ3F4/FgNBqxWq1ERkZitSopX6PRSG1tLWazGbPZjMViqRvPJpNJyUZ7JNHNotELHS6Hk+DgYOx2O4kJiVRVVnLo4EFaprYkNCSUhLh4AgMDMRgMdbLMJSUlREVFAWqy43WoAYxGo8al7KpbFh4eTmJiIocPH2bv3r0MGzZMCT2Yzdhstrpjec1oNNZNmvS6fxO25H/BpMLr/nLZDX+n9lu3X0pZIoQwo2jXDtF4bPB/zc+klPkXWZUAlP5ap/b/FRNCxKHo3Hxxp0HUyzEv/I807BKmOWRX7NA24TyFXBlE6ndr/1t9dzH7P+PYav85b503Omq1QnRcPMktWjD50Un88ssvVFdXM2nSJEbeOBqXy8Xzz/0PVquVI0eO0LVrV156+RU+njWLUSNHcvPNN7Nt2zYef/IpzhQWsvbnVWSvWcPsOXM5mZ9Pi6QkXvjrc+zdu5dVq1Yxf+FCcnI2Ul5eTnh4GFlZWQQEBLJ161YGDBjAV199xUsv1WPi27fvUPf3jBmvc+edd9CmTRtiYmL4/PPPmTt3HiUlpdhsNgICAujS5WoefPAB+vfvT2hoKMePHWP5kmWUlJSQn59PVVUVx48fr3NElyxZQm5eHkfzcvnw0084c+YMQggiwsPp3q0bgaYA2rVrx9y5c/F4PIwZM4Y1a9Zw8OBBnE4nGRkZ5OTkMGnSJEwmE9//+CObNm/my9lfU1NTQ0REBJGRkXTq1Innn3+enJwcXnvtNdauXUtoaCgTJkzgq6++orKyEpvNhtPp5F//+heZmZls3bqVO+64gy1btmAwGAgMDGTXrl288847bNq0iZKSEqKjo2nRogWBgYEkJyfzxBNP0K5dOxwOB0ajke+++449e/YwadKkOoczLCyMyZMn07dvX2bNmkVZSSk9evSgY8eOXJOVxYQ7x7N33z6OHj2Kx+PhxZemk5yczJ/GjCU7O5v09HSMJuXwud1uZs6cyVdffcWxY8cwGAz07t2bt956i0OHDrFqlZJpf/zxx1m5ciW7du1i6NCh5OXlsXr1at577z127NhBfn4+O3bs4IknnqCsrIz27duza9cutm/fTnZ2Nrt27apzNoOCghg5YgSPPPwIBqMRu93O1KlT8Xg82B0OPvv8M9LbtiMhIYHCs0UcyztGoDmQVq1a0b59e1544QUOHDjAli1bqKioqItAT506lc2bNyOEIC0tjTfffJOionqayl27djFv3jzOnTtHUlISRUVFlJWVkZuby/3336+NUVixIpBffvmFxYsX88knn3Dy5Emim0Vz/fXX8+pL54kpAdC6jdJW2LFjB9OnT2fhokWcUaTNCQBCSebejcKatUZhQ0tQ6dDpUspDDT3/QojuwGQU3CAaKAP2AR9LKb/xiYYA3CGEuMNnd2+EKwuFx31BXij/GqUd/wYUvteJSpct09pV67ftk6g0dyoKP7cdeE1KeQGjgFAymi+g8L3R2nE/BBrCWV7U/NvvE/H1rvd9MV4y2iGEuBWFdbxGW/Sc1F6w3mgJMBZV1DMSdZ9yUWpxs5rSbu2Y4ahU/I0oWqdjKMnR92QD0QohRA9UH/fVzn0WJdbxgvTj2BWKf/cvqFR7CyAIhU/9HqU8Ve63/TQuEjlrKIru16/HfVhBTnojTv5Rc58IL37HOCmlTL3UWNS2PwG/LtLte50oyM6jQDtUWvxH4BnpJxfsvQ4UznQKqrAwFZjj0x9dUIWS/VARxiJgCeo58ceFf4YW6UY989OB5kIIG3AYBQ3oj2IpWIbCSF80WtdQ5Nz3nqEgEDNQtHwhKJjTNCllg+pxQohxqOfgKhQHslsoFoq/SSm3a9uMpwGcqBBiAAoi0ldrvxGFV/8W9S6w+Wx7AnUPAFb7jCEaGDMXZAWEEDehYFWdUDjtXBQM4y3po5Lmcy6ADNR7ZxyqvuAU8BHwekPPXAN9MwcF5WgjpTzqs/wLFO44W0o5yGd5KOq9vElK2V9bNp7zswxZ+Cgq+j1bF2SutKzSFb+DfheOrW8eTfroNAgJOu8Coa3z2ScgQPFum83QvVtXNm/ZyhdffsmY0aNxOBx88M+ZdWnZvOPHiYqMZNy4cXz77bccP6mkqTt0yMRqtbJ9+/Y6oYfpL7/C3v37GTZ0CK1atiQyMkJFMn/+mQn33IuUklGjbiAkJIQNG3JYsOA7Vq5cxbTn/0rnTp3Ztm0bnTt34sSJk1RUVNC5cyeqq6qIiY0lJDiYZs2aceutt7Jx4yZmzvwXpaVlpKamkpV1DW63m5UrV3HTTTfz7rvvMH78HRw5coSY2FhSWrakqqKC9evX89xzz7FkyRKWLl1K+/btmf3NPBx2B4MGDiTuujjKysr44ccfWLh4MT2792DDhg2EhIQwcdIk9uzZg9vtZsSIEeTk5HD48GHefe89HDYbM954ne8WLSQuLo7rr7+eiooKSkpKOHbsGBaLhRTN8QwPD0cIQU1NDXNmz8ZmszFkyBCaNWvG4sWLeeyxx+jfvz8PPvggJqORDh060LNnT5YtW8bDDz9MQEAAI0aM4NSpU4SFhbFixQpCQ0MZNHAgtbW1uJwuQkNDWbd2LStWrKC6uprExETi4uIoLi6mvLycKVOmcPO4cUycNIk12aupqa6mc+fO3HjjKFb89BNRUVF069qVzMwOnDp9io0bN3K6oIDMzExeePFF7rlHFU0vWbKEVatW0bFjR24cNYqy8nJWrFhBVlYWgwYO5NUZM5g/fz6rVq6kpqaGRx99lFOnThEQEMB1113H1q1bWbZsGZmZmSQnJ5OTk0NaWhpFRUWUlJTwySefUFNTQ2pqKikpKRQVFWG1Wvniyy/ZsWMnzz7zDKWlpYwZM4ZZs2YREamYPiSSDRtzyLomi4T4ePJPnWLnzp2cPn2aPw4fzrvvvsvw4cOpqa7mp59+4pZbbsHhcHDVVVcRHR3N9u3bufbaa0lNSQUgOzub0aNH06VLFzweD61bt2bBggVERUXxww8/cNttt533XE6ePJmcnBzGjh1LeHg4K1eu5J8z/8nWrVv4YdFiQoIUObD3XelwOBg6dChl5eUMHjyYsLAw3nn7be/Ltz/qg7kaRc1Ug6LIGgtcL4ToI6U8j8ZECHEPqnrfjXJWjqLwdV2BB1HFQWtQGMVJKO16X6fxknJpQlWRr0Z9eHZo59IBbVB4wJmowhOEECnauVJRlEDLUXi6EcByIcR9UsqPfI4dgCpy6aa162utnc/x62moKlAfrvFa232lU09cZl9fp/Z9KaU/TVYEkINy2ucDgah79KkQwiOl/LwJ7TShVNoiUGwSJmAMitGiLfCQ78ZCiDtRH2A76n6fQo2Ru4GRQoiefhHSe1AO81rtPHoU1dPjwB+FED3kr5MyfYF6EZB3qecqvRRN2SLUPfASYXsjkr8FtVlT7TFgKIr5YjnKEbsTVdjUQ2qMAX62ADVml6GupRhACDFCWydQ4+Ik0AV4ALhBe35PNHC811GO7TbUhDYJ1Z8dUDjUvwPvSCmlaJhJpTGWgsKZH0Ph76NQTt1iIcRgKaWvQyVQDtcdqIn1d6jxbUA57IdpWJHO155GTRQ2ohz7QBRryjRU3w6W9bR/76DG0DUoB/xEYy9KCPEKCsNfgnJma1BFcK8Aw4QQQxqALhhRtH0JqHvo0s4/Q2tnY2SWf0Y5toNQ71yveQt1ewshAn0c+GtQ/XcpONMJ7dz+zwVc+J7+1e+g341jKzwSpx7sBjC4PBjcbkwuidmtQ+dwozMYsAuJ0yDwuN2YPTqkpX7C0r9ff3I2bqK6uoaHHnqI+fPns3DxYnQ6HR0yM1mdvZoB/fqxdOlSqqur2b1nDzHNm9Oje3c8Hg9ms5nIyCjOlZRSUHiGLTkbSG7ZkpdffJHIyEheevllVmavxuVysfTHH2ifkYHNamXXkF18M38B87/7ji+++AKX3U5ibBy33nQTS5YvZ+269WSmp9OzRw9sNhs2m42woGC2btzEww89TFlZOU9OfpyEuDjGjBlDbm4uz02dyphx43jqqacZOGAA54rOcu5cCWfOnCEpKYnevXsTHx9PQUFBXTq8d/ce3HDDDYwZOxaPx8OB/fuJiY7m4OFfWLJ0KdePHKkwwx4PBadPU1payrZt24iMjCQhIYFjubkUFBTwyaefEhYaSvbKVTicTnZu347dbicpKQkE/LRsOYEGI726dWf5smVUVlURFxvLfXfdzXUjR9IhM5P/mTKVawYOYN26ddwz4S5sFiv2WgvlpWVMnDiRlJQUflq+Ah3w1VdfMWrUKIw6PUtXLOebb77htltuRXg8SLeHxx57jJqaGp5+8klCgoIxmUyUlJTQvHlz3n7v78xfsICk+AQSExMJCwnh448/ZsVPP9HmD39g9ldfs37dOibcdRdr167lgXvuJSgoiJ07dyKEoLREwRVXrVrFg/fdT7++fUlOSaFLly48+9z/8Mabb5KXm0ugKYDq8gqiwsKJTEikZYtkdm7dRvv0DHbs3EF4aBixzWN45JFHmP7ii9gsViLDI9i7Zw/lZeWMuO46nnnmGWbPnk1JSSl3T7iLPn368MILLzDzw3+xbu1a+vbpQ01VFclJSUiN7eP4iROsW7MWt9PJkSNKinnWF1+wdt1aNm7IoX+fvkx+9DGmT5/Okxr++NOPP+FsYSE2m42svv1YvXYtK1aqYOIf0tLwuD1UVVSSnp7O8bxjtEhMIisrC7vVRkjw+Xx2mzdvZtuWrSSnJKMTOqa/8CI3jbuJH5cs4b333+epyU+gSIfVO7ywsLBuAhgUEgxC8M7bb3u5N7OBWH9HQwjRCfUSm4F6aXuXZ6Aq3quAflLKA377JQFIKddokYpJqAKUaU149XyF+ig+I6U8j2ZLixjU+Cz6XNv2FinlXJ/tIlAO79+FohfycolMRjkI3wF/kvWUTDNQTvQVm1RUX9O0KEhKU65ZSpnlE9Gb38AmnVAMDPd5P85CiLdRTsjTqH5orMWjnI1MWU+h9DzKyXlQCDFPatXmQog2KIGIE6gIaB3PnRBiIIoZ4F2UI+u1V4GHpB93sBDiLpQ08IPAa01o73nmEx3vhHK+TjRin0XAIi1iRRPHY2Pb1VgP8I9ADyllHQerdi8fRT1vdzWwTwrqfvliuUNQBU4GVFHYep91T2vH+hDlRPtbT6CDd0IilOhKNsqJvE9KeSVyvv6WhYrO1jltQojZKGf+SXwihajJ0B2oMThES5nfre2jR02cL2cPorhwz4t+CiGmo+jBxqImE0gp39HeEdegis3WNOaChKI9nIqa3HX3RtiFEFNRsI0R2rX506UloCbSQ6QS/UAI8QIKx/yYEOKVRuB4vdCkQajJPUKItqhJyUpgCMqR/9lnO9/9LjDt2ZnWyOfiV7+D/GX9fn8m/CK60oPH7cHlri+SARg4UE0mOnXuhJSSrl27UmuxkpGezqjrr6fgzBn0BgOBZjNZWQMoLS2lV8+etGnThvCICDp17lx3rGenTMFkMuF2OLjhhhtwOJ3ExcdTU1PD6BtvpEe3blRXVbFr1y4sFgvPTp1CaEgIu/fsJSgoiFGjRtGqdeu64qPOnTvjcDiIiIhg9Jgx1NbWkr16NYePHKF/376MHT2arl27YrfbOXjwINHR0Ux+9FFsNhs//vBDXVq+S9eutGnThoyMDAC6du3KoEGDOHDgAGlpafzhD3/A7nDgkZLic+dwOp2kJCm6v5P5+XTp0gW9ECQnJ1NVVUVsbCyjR48mJiaGJUuW0Ewjpg0MDKR5dDQmg4HU1FT69OnDmTNnOHL4CKmpqfTu3Zvg4GB0GqdXj27dCQ8Pp3nz5oDCcj42SU3Mli5fhtFoJCkpiTlzZuN0Opnx8ivExcRw+vRpOnfuTGlpKX+5/XaGDhlL02IjAAAgAElEQVTC4SNH0Ot06HQ6du3cwcFDh2jXti3B5iAefvhh4uPjSUlJISAggJHXXYfT6WTdhvW0b98egA/++QEA7779NkhJq9atldCFw0FycjJut5uMjAykx0NQkCqUSmvVmpEjRhAUFFSHr71z/J0AlJaVsW7NGiIjI0lOTiYsPByh1xNoNrN5fQ4R5mCiQsLolJ6Bs9ZGWEAQbVJbsmfbdnIP/EKA0DMsaxBmnQHhcJPeKo0TR47y/aJFDB44EICjebmUl5ezaNEi0tPT0enUiB9z42gy2rfn3LlzNGvWDKPRSIImVXvg4AHGjRtHaWkppWVlHM3NpW+fPgwcOJCKigo6derEmDFjCA8LIyVZ8RAnJSbhcrkwGAy0bduWwsJCWrZsSVlZGa1bt74A6vPII4+QkpKC9wnU6XRMe34aOp2Or+fMbvBxfe211whuQOZNSlncUPRMi9JmAwOE4qf12gOoD+l0f6dW2+90gw1opGlp1d6oaMEFzo+UssQbkdCc72uABb5OrbZdBcpJDERFI712J6qe7ilfXKFU4g5//zVt/zebBXjc11mUUh5ETT7StbRjU2yqb8pUKs5er9TenT7bPYCKNk3ydWq1fbJREdyRvueXUp70d2o1+xQ1IRrWxLb+v2Zf+jq1mk1DYR9v1bIK/vacvLDA8gYUjGSer1Or2d9Qk5EhQhXS+duLvlF2KaWLek7Y7o26isvbSRQrSJ1JKb10eP7neET7vU/6FYRJKd3+kIqGTEp57CIpfW8U8rcYdxO035d8YSNa/01GvVsuxtM80evUavsUozjEw1GZkkualPIY6p4OEPVhdK/z+ldUBm2Qzy6DUJktfx7mK7Vf/Q66bMRWCPEpanZQLKXM1JZNQ818vKmMZ6RGtq7NKO5CXfxEbYBdubk9dVXy6vg69AaBUeqRznrHtnPnTpjNZvbuP4DeoCc0PJwjR4/y6MSJjBg5ghdeeonyykoeeOAB3nhD0djdeOMoklq0wO12M2DgQGLjYjly9CjduncjPCIcKaBFcjIPT5zI5MlPAHDNNf0ROh2JSUkkJbfAHGhmy5YtpKWlsWv3bmLi4khISiShRRLfLVrElq3bGD78j6SkJmMymnB73Nz/wAN8+JHKWuoMehb9oHjFrVYrJpOJ1958k/JyBQ/LO36chx5+mC5du6nqc48Hg8GAy+Vi3M034/F46NGjBxUVFbw/858sXbaMkydPUlt7vvBJraWWnr16IYSgfWYmGe3bYzIacbndtE5LwyMlASYTY0aP5uNPPqF7717ceMMoevbsSXpGRl0kuFl0NDGxsTidTkJfeYXq6mpee/11zIGKtcHLGtC3b18A9u8/gMlkYvCQIbz8mhKGyNm0kd179uB0OesYFTweDxWVlXg8Hk6dPk2z6Gg2b90GQHhEBLVWK6//7U0cdgcVFRWYzWac2sSmbbt2dO3WjejmzSksKqJ5dDQ9evbC43YTn5CA0+mke48eBAUFEdWsGQEBAXjcbnr37sOChf8fe+cdH1WV/v/3c6ekkpCEFAi9CQSQ3kGqAgJ2RQVBLLh2/aqI5bu47rqWFcvqru5aUFddEQuiIAiCdJAeQAEJoUN6mUky9fz+OHcmk2ECoex++e36eb3CDPeee+6555659znPeZ7P5wuuuvpqOl94IWIyUbjcbtJNxYqoqGhatGzJ4CFDqKyoIC4+Hq/XS5++fUlNSqFzp04UFxZRL6Ee4vNxw/XXY7PaOHD4EMOGDTdV5RR/efNNPp/7JfsPHsDhcNRIhvT5fPTs1Yuu3brRuHFjdu7SeUJjxozB6/HQqnXrIGOGy+3m49mfEBcfT4esLI4ePUpKqtYp6N+/P7ExMUyaPJmkpCRiYmJ44IEHePW119h/4ABp6enExsbqcrGxdOzYkfr161NWVkazZs2CKnkBDOw/gKqqKqw2G4aZsNa8eXOaNGnC/v37KS0tJbF+taBJdHQ0nUPVLsIgIpeiOR57oGNOw58/DahOouhjfi6otcKzQ6D+herUwgQB6d5E89kXjlTzsz0EY85aAwdVZD7RZVTHBZ9v2KOUKouw/aD5WR8dq1kXeNHLteFYZn52DdkW6OOLRKRnhGPS0KEGbTE93uZEaCp62bQD+sUd6qz5b5c3/SF8g1KqVES2oCdq7TlxGTiSBzWg8HeCR04p5RWR5egQna5oYzIUkZb1A2MpKcK+M8GWWiY4B6keV4hIHJpn9ngEg7/OMOu5D7160BYtohHqfzsX4+5kfb5bRA4BLUSkvqop1lKqlIokc3S6ff492rjuglZdG4pmOFgrIhsxDVvR4iIdgUXq3CVKnvUzqC6hCLOA19DqIaF4SSn1p9AN5vLheCAL7RJfLCJtaxl0dYNhYLFYMEwvniiTXEgFVMrMcxsGffv0YemyZRw9nsfqNavx+XwMHTaUlq1b0TAjg2XLfmDSpJv4YfkKRIR+/fvh8WnjqLSsevKW0bAhGAZVLhe2KDugKC7RhmZ6RjpWu844d7lcKEMoc5TT9oK2bN6yhaLiYjxmJnrAo1nldmFYLHh8XioqKkhMTKSoRI/FpUuXsXTpslovv8LpxOVyER0Vg4ggFgsK8Hi91EtIwFVVRWlZGUNGDCc3N5ce3bsz/rrrOH48j5YtW+L1eoNeTLfHU6NdSgSf3489Kgqvz4fVZuMPv/8D7du3591Zs5j58ksAWK1WRowYwR9+/wcS69cnNS3N9JYrUlJSqF+/PobFgt/nw7BY8Pn9tGjZEoByRzkxsbFUVVVRVKSVQF959eQOq0q3CzEMysv12F27di1r166ttbzf70csFuolaomtRo0akZCQQFVVFbHx8fi8XpLMjP8ok1lARIg3FQ6aN29OYlISgk5IDLABACQlJ9Gpc+caUsdKKZKTk0nq2wfDMGicWA/EICrKTnRiAlarhaSG6VgsBpWVVVwy6hI2bNhAVlYW11xzDQ2SU7DZbRiGhad//zQ+n48Lu3QJ9qGIfjenpqZij4qiWfPmREVF0SAtjagYTflWv34ShsVCSoMGxMfr68jIyCAuPp64+HhEtHpfl65daWgqQ8TExBBlt9OyZUs8Xi8XXHABHo+H5ORkLOZkKRRp6enmb6/mymdGero2bMtqPnsCTBiRXBkici96KbkYvZx1AD0zV1THMYZ6kAIW87nSkA/H6dQf0NgbYf7VhkAsR6L5WYvWG8dq2X4+oLZY0MDgOB16jIJanv2B608M2Rbo44dPUWdovMwnaOMiB+2ROoaOzwW93B7JI/nfhFONv8ST7AtFoFxt3szA9voR9kUaT2cylk6Gk43Z0InOWT9TzMnU92hP8Hb0GMxHJ52CnrCei3FXlz5vapYLvf5z9ftdgjZsh4nIVnS4x4KQfY+ITgwdijbqzyVd4FlfwykNW6XUcjPOqC64DM1H50Jnkf6CHgBr6nh85DaYKvTKNGqVyZQQSveVvT2dVq3h+6Xwzrut2L5dqyxZbWPZtg2yOsLSZV/x44ZUVq7SkqaHj7TncEiebeA9vWlzTdojqJbcXb9+PKmpNffFxILpYCW/4E62bL1Tfzf92Xt+6UW5o+Yxps3G3XfDVVdxEnxM9vaPT1aATz6B3FyYNAkmT95IaAjfjh2Bdn3Ipi0fnrSeALp113/FxVpN6/vvvSxYsICtWxfw7rsQcOy53Fphbe36eicojQUS8S2WXNb9GGd+19u+/hoirFaHYBSbtkCR2aen7qMP2bzlw6A074GD21ixynayAwDI2Rf4nMq69VMjlqmoWBNs/5nghx9gwwa45BJ49NEd6GRgjYAEcln5Staujw1uP2I+yrbvvBhrTSdqsF/zC/7BmnVaNbPArGfT5gdZv+HBE9qwY6f+3PnTJdhP45Gbn59PuwsuOMFQPWZK0iWG6TrXlvxhxtU9hX5pdgtf7jPjycIReLhl8q+h6gqt/1QIzHrvU0rVJYwgUD69lv0ZdajjPwENRMQSwbgNXH/oUnDge2It3poaEJEeaKN2MTA6NG5Q9MzwkQiHBTzzkd57kYyyfwVO1gbQhsq5okk61fg74Ty1LLEHytU2bhuGlTtTKGrvl3Nxf07nN18bLkPbNJEy+Rty7lZiQvs80qrPuerz2hDwFA83v6dQbbx+j47/HUId4mv/L3A2MbZ3i8g2EXlHtE456AFzMKTMIc7SLa98XrwerxYVUAoQLIYFi9WKhEnqdjOd95s2webNWt42YIR166YN16++0jKqgbJ1RRvNZsTWrSfu8/lg+/aa5UDLnwb2h8MMkyU7+/TaEQmHzfnnoEEn7ovU3roiKUnXOWOGlnM9ckRLuYbC56s2nkOxxVzgCu2PwDVv21a3859uH8XEQIsW2iCPJEn7f4F/1b0JxanG5pmOsWXLlgXDRALIzc3l4MGDNG3alMTESA6fiGiAfjGtjmDUxlO97BaKgIt+VIR94Qj8wk7HAxSo/xIJuMhPXXZgXSo2Y4l/ATJFpFWEIoPr1MJTI5BYcb6SDFvRcczhGGx+hi4Hn1Yfo0M9AL6KkAzTC4iJcEyA/qtJhH21iYicydg6GWptg4i05twa2Cewb5heti5oNa6IFHsRELhPgyPUZ0WzLYBWPjsbFBO5XyzoNp8VlKbu2w6ki0jXU5WvBYFxF84mArWznZzJGDpZn7dGJ3LtCwtDOGcw43p3on+PAdnogPG6Cr0yMgztsS2m5m/5ZPBx7n5LtSPg/TzZH6bmd8j/083GGWiOwnfM7a8DE0LKvQ1cVUudt6PjbzY0zsxUlSUlKr+sUB2sKlZFjhJVtnmXKlu5VfnKnGrtT1vUocJjqqqsTJWVlajCsiJVUVKinAWFyuEoUyUlRSo//7gqKytR9evXVw0aNFCAevLJJ1R5eakqLMxX27dvU4BKTdX7Zs/+pyoqKlDFxVqat7AwXw0aNFABQSnb4uJC5XSWq6KiAlVQkKeSkpKUxWJRixcvUmVlJaq4uFCVlBSpp56aoQA1dOgQVVJSpByOMlVcXKjuv/8+Bah5875SDkeZKi8vVQ5HmSotLVbl5aWqf/9+yjAM9frrf1YlJUWqtLRYVVVVqIKCPFVSUqTWrVurfv55p6qq0nK2TqdTFRcXq/Ly8qCcq8PhUDNm6PM///zzqry8XJWWlqqioiK1atUqVa9ePQWoiRMnqvz8fOV2u4MSsE6nM1hnUVGRcjqdat68eaq0tDRYd2B/586dFaA2bdoUlMRt2rSpAi27G2iXw+FQhw8fVi1atFCA+vbbb1VJSYkqLy9XGzZsUDabTbVu3Vpt2rSpxvkDkrPfffedcjgcqrS0VJWVlal+/XQfvfnmmyovL095PJ7guUpLS9XatWtVTk5OUIr35ZdfVoDq3r27Onr0qCorK1MOh0M5HA5VXFys9u/fryorK1Vpaal6++23FaDeeOON4PlKSkpUZWWlcjqdClD9+/dXZWVlwWN27NihANW0aVPlrqxS3soq5amoUs6SMlVZWq6cxaXKU1GlKsscyu2sVB+8+54C1N133qVcjgrl83hVaUGR2rlzp2rSpImCaslep9OpysvL1fTp0xWgFi5cqCorK1VxcbHyer3K6XQGzz9hwgTlcrlUeXm5qqysVG3atFGA+vTTT1V5eXlQhvfFF180Y3dQixYuVF63R1U4nMpVWaUqHM7g/yscTuX3+pS7yqUmTpigAJWSkqJ+2b1HVVZUKI/LrSocTjXm0ksVoB59ZJoqzitQfrdXeatcqlmzZqpZs2ZaytftVlUed1BS13xOONEJCfEhzwCb+YwItLF5yL4O6OW9IqBDhOdH45Dv8WhP2A+1PGsGE1l2c5W5fXqEY1IIkd8ElqMfylNqOUcnQuR20XyfCs08YIRsb2FekyKCJOdptn+2ub1FXeoJOW4GkWVPFbXIWXKasp/mvVZoWdOokO0BTkoFDArZ3g5N77MbzZ8ZXp8dzY4R+H8fs47PwsqloZesFGHSnUBvc/tyaso2N0GHxpxwT9B0VQrNfRvpOpdhOjojXH9uhO02tJetJGy8xKD5eiO1ezIR5EnrcH/dQNewfS+Z+96py3WE/L4K0UvBfcL2PWTW911dx8tJxvMCc/vFYdt/S+RnRPNI9+xk14TODVLoWOLEsH0G0PBk/Y4OtVRovtvQY1uik9hO+A2hWRQUmtO1Tr8t9IRQoXl6U0O2W9A0bAp4vC5jLmxMDI60v5ZjApLbx4HdYfuWmtsV8HmEYyOOWbPfq4CYWs55Tp5BZ0T3paopbRCRv6NJn0F7aENnXI3ResuR6vgbmiKELp0vVIZoT6zf7wOseLweDJ8f5fPi8XnxKT9eUfhR+MQUiFZ+Nv5Yczk0KwtWrdLfMzJ+z4YN1cmSjRrBkSMFGAbExIw/wcNVajr1N0cIRQB48EF46ikYNepiLroI0tJg92691JycDLfcsrTGsWZoI1OnjuOii7RHMT4erjAJa+67D/bvh7vuuoeZM++hfXu9Pz8fcnK0d/T116s9l7UhKwsSEuDRRx9h3rxHyMzUnsI1a2DgQFi6FPLyPmD79g9OWo/DAWPHQkYGtG8P6ek6BGPjRt3Ofv2gtLQbP+qcLlwuSEmBoqI1dOyYRL9+4PXC8uV6mf2yyyAqaiSbQ+ZyDz8Mzz//Cz17dqNXL2jcWB+Tl6c9i4mJ8H5INPf99+t+nzp1Ks8/P/WUfdS5M1x8MSxatJH27RvSv7+us7BQe/FHjYLJk3VZk0GLffvuYNOmO2rpk1Vs3Fg9xo6Yo9nrPcCqtdEnvzFASjpkZsJrf3mdtetfp3Vrfa1r1kCfPnDwIJSVrWDt2moHU+AcO3degt0O3XqU4fX7wBAMS7Vz0e/3B6WV33jjDcaMGcP48eO57LLLaNmyJdnZ2SxdupSLL76YRYsWoQCv34dYDBQgFiP4fxEJxpsH0LdvX3r06snV11xDvYR6LPluMdu2baN7t+7cPeU27BjgVwTIhxTgM0z+acBi7lBK+UXkVTSPbbaIzEUbKkPQhs5SqjkSA8fsFJE70XQzm81j9qANzh7o5IEhZlmHiKwDBorIh2jjyIf25p1sfWAC+uX3jIhcZX4XNHfqxWhjK9csewPaY/G2GS+8Dm2cNAY6oxMo+mLyfqKzxS9HMyVsEpGF6GXm69CG1biTtKuuWIJWD/tcROYDlWghgJP/0P99OIqON9wuIl+hjbqr0cuof1Em1ReAUupnEZmCZjTYISLfou+jDR1LOBAdy9jOPORH9MTkShFZjTag09Ee/l1EeO8opdaZiU6DgPUi8r15zFhgIZE9uUvQcb9/F5E5aAq4EqXUa2fSIUopj4i8guYz3iwiX6A92yPMNkd8X54hFgCrRGQ2+l4MMP9y0b/FurbZYd6bT4EfRORT9ESgO/p3cgydxHe2+BOaUWCuiHyCngD2Q08Gl3FuVjreQvfBTcAe87mSj84JGooefzNOcvw89MTsQRHphPZUNkUn2H9jfg/HUvTE+48i0hHTa6+UOlHpxoRSarWIPI8Oqdlujj0nenx3RI/3F+p2yWeMJWhxiDQ0bWH4vsEh30+nzp5o7u/laM/vVqXUvLNrak2cUSiCGUsSwBVo9z5oSpbxIhIlmvy8DZGzLMMQZpmLZj+wmi/tmiWrEZAWDUUgxCAuDi64IPK+tm21cXS6GDAA/vxn6N0bfvwRZs+GAwdg3Dh4801tOIeiVy/4zW/AaoU5c+Cdd3Q8bABvvw2HDsG11+qwhcWL4fPP9dJ+Wpo26Fq0OHW7GjSAV17RhlJ2Nnz5pY7FvP9+uP32ul9fdDSMGaOPXbcOPvsMliyB2Fh44AEdkhAOq1X36+HDsHBhdfzs3XfD3Lm6DaEYMUL31fDh2jD98kt93YcP6+X68PKpqbr8LbfUrY9EYPp0eOwxaNoUli2DTz/Vy/SdOmnj/GyQk6M/TaauUyImBmbOhGHDdBz055/D3r0wcSI8/vipj9+yBRLrJTDjt781E9pq/h4Cv4/+/fuzePFihg4dyqJFi3jjjTdwu90sXLiQnj17nniMVB9b4zcm6E4Evv76ax599FGWL/+Bv7z2OgUFBdxx++0sWbiY6Ohqoz43N5f9+/ebvMDVdd08ZQpAdzNG/0k0TY0XnVF8M9qb24sTM6kBUFrwYAB64jwYbWCMQxOWvx5WfCL6xTIS7eF5msghDqH17zPLPI/ObL4bzejSFG2Y5oWUPYR+kT9uXuQU9EvnBvSL5n6gs4goEZmsdJ7BcLSHLNW85sFoWqIHTtau08BbaC7XRHTM29OEcJOKyGCzPTPO0flOF250HyxCe7qmor2V96H7ugaUUv9A9/GH6MnC3ejJR2u05/vOkLI+9Fj4K9oouRc9Vt5CG0e1cXVeZpZpjKZ+6oq+j9PCC4rmR34TPW496Pv2NNpLeTb4Lfp+VaFXLkejl7ZrtFtEEswJYSBJ+10R6XIa9/UldJ91oVp9bBbQT2kKqDpDKTUXzV0632znQ2hWhTeA7kpTRJ0VlFJL0JPBHejxMglthC/nHIXvKI1J6HH1E1oV8EF0GMEKtA1zsuOdaAP4I3SS/L3osfq0WWekY35CX8sx9P14mmrKu5Odaxpa4WwP2hC/F22zPYHmqf1XyzUvozomPDyGNtSYPZ342t+jx0wrqp9ZJ82gOROI6eKtvYCWVxuMjpM7jv5RDkb/WBR64E1VZuyciDyOfuh7gfuVUqek6+nSubNau3w5TovCYfGTgB1j91HsLh/R7Zqw6tAummQ0pEFUPB7lxy1+YvwGNgzWbtJxfl27FGKz2fB6vVRVVWGPiqKqspKYmBj8fj82my1IpwXgdDqJj4/n008/JTYujiuuuILysjJsNhsWiwWfz0d0dDROpzPId+p2u3E4HCxcuJCsrCx69uzJxo0bmT17NpMnT6akpITOnTsTHROD2+XCMAzcbjdWqxWbzYZfKSqcTqJjYqisrOTee+/jo48+Zvv2bWRkZCAiGIaBzWYjKioqyF/qKHdgmGF0c+bMYciQISQnJxMdHY3L5QoKTASy2u12OwsWLMDpdDJy5Ejq1atHTk4OmZmZHDp0iMWLF5OYmEhSUhLDhg3D7XYjIsTFx7Nk8WJGjh7F9OnTeeyxxzAMg4MHD/Lqq68ydepUWrRoEWxjmzZtcLlcZGZmsmnTJubMmcOll16Kz+OlsrKS1PQ0BvQfwKKFC/F6vRw/fpzt27cTFxdHfn4+gwYNIiUlhYqKCmJiYzVbgdWg0swCM0xGDIvFgtvtDjISuKqqsNlsWG02/H5NB2czLHg9mts4KioqyKgghoEhwi+//EKLFi2Ijo7GMLTH0hpkhwBDhCqXTqhevnw52dnZTJo0iaSkJHw+H5WVlSQnJ/PAAw/wzjvvsHv3blJTUykvK8dqs5KQkEBeXh716tXDYhi43R78JotUbGwsyq/wKz9Op5PEhETKKxzB++xxe/D5fcREx+B0OoiOjkEMYfVKO1u26EnF9Mem89sZM1C+E5mpAoZpbb/l2pK6ait366238sEH2unncrnwG4LP58OGQUVZGYmJyRQdPUpMbCwxCfXYuz+HNhdcwISbJvL3d95BlMIAbp1yK+9/8D7UIoOpwpIv/lUQLeYwCf3M6opeNhSgjYpMjXOq+r5Fe6o+pnpZ/Vn0y/hdwiQ4/x2QMGlXc9tgTiLf+t+OSH0Wtj8XQJ2FvO3ZQETeQE8GvkbTcvnQRkE7Ti7LO4NapINP49yKU8gz/7sgJ5Gc/RW/IhLqwopwfYTNb5+k/B/QcbenAUEQAjReiPkJ1WwIyowHDvHZejzVk3KP14uI4HK7KS0rQylFWloaR44cISExkXoWC+UOB3abLWio7s3J4ciRI1w6Zgx+05AVEcodDgry80lLS8NqteJwOIJGc15eHj6fD5/PR1VVFfv376dbt240btIEpRQWi4VDhw4RZbeTkJCAzW7H6/GglMLr81FaWorVZsNiVBtwfpOr1+/zUa9ePUpKSjAMg+joaKoqKzWPrwhFhYWUlpZSUVFBSkoKXq+XuLg4PB4PhmHg8XhwuVzExsZSWFhIVlYWfr8ft1tzv4phcPjwYerXr4+IkJ6RQXFxMVHR0cTFxlJcVBQ0bgzD0Eaky0VMTAydO3cmPT0dn8+HxWKhvLwcn8+Hx+Ohbdu2bNq0ieLiYhwOBzGmN2/b1m1ERUXhcrtRSuFwOikoKMDtduN2u4mNi8Pr9RIdE4PH48Hv9+Gt9GG1WrFYLHg8HpTPj8tXpfllKzXdVnyc5pLFr3BXufQ5XC4shiVI5WUYBgsXLqR169ZYLBbWr19PUnIyzRITKS0tJb5eveD4sVgsVLrdJCQmcuDAAQrzC2iU0ZAf162nSZMmdOrUCathwelwsnLFCibdNImkxPoYCFs2byYmJoY+ffqQEF8Pq8WKz+dDRIix64mHq1K3v9JZQVJifdxuN+vXrtOeVL9OzrJarfh9PrweL06vIygXHYDFsODzeINlzydkZmaydXs29erXOZns340eaE9BIGatlDNM0hERO3rZeLFS6sawfV+gk6BOSfL+K35FHTAGHds4NnSjiJShvaXhQgr/qZiOnjj+q6j/fsV/GM6PN6SAGBLkwFRKv+x9Ph8RudNNu9dmqW5+vMkftWXLFr755hsKCwsZN24cy5YtIysri6ysLJYsWYLNZuPqq6/m888/Jycnh7i4ONq2aaM9qzYbhYWFLPz2W7Zt28aQIUNo2LAhRcXF9OvblzVr1uD1etm8eTO7d+9GDIO8vDwGDRrEgvnz6dmzJ1u3bmXjxo3069+f+vXr46qqQgF2w2Dpku8pLi6mU6eOHD58mJy9msWjrKyM7G1bycnZxy23TOH4sWN8/fXXNG/egmHDhrFq1SqSkxsQFRVFYWEhn376Kf369aP/gAFUVFRgtVopLy9n586dHDlyhHbt2lFSUkJeXh6HDh1i9OjRVFZW0i49ncXffUfjxo1xOBz4fD6+/93oqjIAACAASURBVP57EhISGDp0qBZY8GpjT/lVULBg3759iAg2my3Ij2qz2XC5XHg8HuLNuA673c7u3bspLiyitLSUkaNGsT83l6/WrCEzMxMRISkpKSi4cfzYMVq1aoWzooLF333HmDFjEDHw+/0cyzuGYQjFJSU0adKEnJwckpKSWL1qFRkNG9K2TRtycnIoLS2jbdu2ZJpCDIZhUFBQQHZ2NqtWrUJEyMzMpKysjB3bt5OclER5eTlLly5l8ODBwcx+m81GUUEBy5YupbCwkBuuvx6n00laWhoH9u+nsKiIlJQUFi74lsNHjrA/N1cbz99+S9u2benYsSPRUVFa0MBiwevxsGf3blxVVbTPyuLokSOUlpZySITmLVrQODMTt8vNgf37qayspHHjxlgsVvbvz6Vdu/YnGLZ+vx9DjPNSK9Bms9GuXTv85tz0PMQGdFzlVqVUWcBTd4Z1ZaDvQqQYzlL+dfQ7v+K/D43Qy/A1oJSq4F9DgXdewlwN/nWy+CvqjPPjNRnujVUK5febiWQhXttAWTNBMtR7iwg///wzzzzzRz76+BPenfU+EyZOYuu2bI4dO8ao0WN45dXXKC0t5bPPPiM9PZ3WrVuTnJzMq6/+mf4DBpGWlkGHDh15/vk/0ahRJuvWrWPr1q20btWKAwcOsHPnTsrKyqisquLTOZ8zdOhw7rv/Aa65djyv/+Uv7N27l+XLl9O/f3+aN2uG1+vFbrezds1aho+4mOuuv4EH/uchHpk2nQXfzA9K0C6cP581q1az++ef2bvnF1556WX27c1h04YNrF65kgqnk1atW3Pb1Nv543PPkp2dzRtvvkmnzp1Iy0inY+dO/PHZZ1m3bp1W5PJ42LhpI4uXLOaa665l8s2TmTdvHh7TcxsXF0dsbCy33HoLN02eRGpqatATaJjcwH6/j7Vr1zJ27FhGjx7N/fffzzXXXMPmzZtRSmG324Oe0YARdvz4cd577z2WLVumJXobpHD1tdfgdrv58ssvKS4uxmKx4HQ6WbhwIZdfeQWp6WmkZ6Rz9733cOddd7J7927y8/LYsnkz3y/5njf/+gZ5x46zZPESPvrHh+TszeH7xUuYOfMlrrn2Wq66+iouaHcBzVu2YOToUbz9ztvYbDaOHj2K2+3mueef56Ihg/npp5+Y8dRTdOzcibbtLuC222/j5ilT8CuFq7JSq7B5vRzcvx+rYbA3Zy83TZpEu6wOtMvqwPCLR3DHb+7g448/Zt2aNRQUFJCzdy95x4/TICWF8rIynnv+efoP6E+D9DQaNc7kqquv4sWZL7IjO5vZs2ezauVKioqKyPnlF35c/yOrVq3i5ilTGD58OK1atyarYxY33jiBl2bOpNJZccJvJDs7m6uuvJKMjAySk5MZMWIEa9acHkX0119/zciRI2nevDkJCQm0aNGC4cOH8+abb9bp+OUrVlA/NYmsXt3ZavKI5ebmEmW1cdvNU05xdO0QkXQR+ZOI7BIRp4iUmN9niUjLM64YHR+rlFqh6sCPeoo25qIznwEmmXGOylwqRUQmB2Jsw48z/2JF5AUROSAiLhH5RUSmSYRYEbOuz0QkR0QqRaRMRFaJSMQ4vtO4hrUi4pNauMlF5CHzGv7nFPVMNcvdFrZ9irm9QsIkW0VkvYhUiUhM2PZrRWS5iJSa15otItPDjzfLnnZfRqijubnUfpH5fxXytyxC+dM6l4j0FpE5InJMRNwiclBE3hSRRpHKRzh+mdk+QSux1Wib1BJjG3JcgE7pfbO9s8z9dhG5V0Q2iUixeY9yRWSuiAw3y0w26yDs3HWK1Q60QXSeze9FZJ/Zhr0i8lvRKx7hxyjzuAwReUtEDptjdLK5f5ZZpnnIMblhbQv/mxV2jlhzTG0R/XxxiMgaEYm0Iv0r/j/H+eGxRXtolaHQeS3Vnlulv+hSYaEIoTGFhmHw4IMPsXTZMhISEujcuRNRdjs7d+5k9+7dphfYR2xsLNnZ2QwaNIjPPvuM3P0H2Lp1G23btuHWW2/hp50/8eOGDTz+xJP07dOb6Oho4uPjef3112ndujUfffQxi75bTFxcHP369sXr9XD4yFFWrlzN/Q88yG/umEpqaipFRUU0btyYL7+cy40TJmpZ2aFDcbld5OcX8P66dWSZqfxVVVW0bduW2NhYfvnlF1JTU7nwwgspKSlh8+bN3DxlCvl5eVSZoQs7f/qJwqJCrrv2OkSEBQvmM/OlmfTu3Zu7fnMnlZWVREdF43BoWd3CoiJ69uhJUVGRjvU1eUnrmcpbTqcTu92O1+vFYpLvbti4kZkvvcTgwYMZNmwYlZWVLF26lNWrV/PZZ58xZMgQXnrpJVJSUvjmm28A8Hq9JCYmct211/GWKRkcHx9PXFwcqampiAhut5sX/vQndv60k6SkJAYNHERJSTEpDRrw1bx59O3blyGDh5Cbm0tJSQnp6eksX76cosJC3G43N954I9Mencb8BQtITEykS5cuNG3SlOjoaLKztzFr1nvceeddNGvWDBFh58+aqnHHTzvZty+HrKwsEhMSKSgsYP6C+VxzzTX888MPQSmio6Np1aoV5U4HF48cicvlYsTw4eTn5dG4SRMWLlrEmrVruf+ee7ho8GDspqeyU+fOXDpuLFu3bqVrly5MvPFGcnP3s3XbVuZ8/jlOZwU9u3dnzJgxtG3Xjk8++ojPv/iCeV/PIzo6mm5du5GamsrmzZspKi5i2Q8/MG1azVyWzZs38dLLL9G7d28mT57MwYMH+fLLLxk9ejTr16+nbdu2p/yVvfXWW9x9991kZGQwevRoUlJSyM/PZ/v27bz//vvccccdwXL79+9n+fKazqKPP/6Y26feTssWLfn47Vl1OmddICKx6Az3VmhVsnnol3ozdLLPHLS61P81XkZTDN0HbEXT7sCJsqSRYEMnUTVCZ6t70YkyzwLRaAGLUPwVzSO5HO2tSkEnGX0gIhcopZ48w2v4C/AemvYoUvrirehM5fdOUU8geWQY8PeQ7YG0yhg0S8QyCPKndgNWqBAdexF5Br3UXIBOyHGgM7+fQXMMj1An8tSebl+Go8QsMxk9xkLL557NuUTkZnR/uNCJSAfRSdS3AmNFpI9SKmKyZAhmUS27vN/8f6S21YYu6HyYJegEyECi2Cx0MtJ2tJJopXldA9BJl4vRY/mpCOeGainkumA2Ovt9Djoh7jI020APERmnTkwISEaH8TjQGfh+aldOA/1bjBRONBY9zoKeARGpj05w6orm2n0H7dS7BPhIRLKUUk+cxrX9ivMc54lhC5hRtogEDVmLxYIBKJ+5DOvz4/d78aNwe/zEWqrVpZYt/p6ly5bRICWFzu3a8+ij09ixYwdOZwWfzv2SQ4cOk5iQwOjhFxNrjWL+3K/ZuyeH7T/tZMSw4Xz60cf4fF7+/OfXaNKwEV9+PY81a9fRuUNHPpz1AW5nFRVlThZ9t5h68fWY9c472CwW4mJiqKis5H9/9xSbt25lzuzPwONnyNChFB4r4M677sYwDJ6Y9ih2ux23x03jxk3443PPsnGT5rPOaNiI4uISYmPj8Xh8JCenUFhYRFJSEsXFpcz9Yi7xsXFBo7O4uIjvvl5Ay5YtEBGenDadwSOGsW7dOtq0aEm3C7tw5djLWLVa856Vl5TSs0tXDubso3F6BpVl5ZSXllFm8pv5qtzs/XmXNnS92uhdvHgxf3rhBUZefDFvvfU2Y8eNZcrkm7lhwo3cc/fdbPxxAzl7fqFL585UVVYBUFpURMesLCrLyqkfq8MTiguL+Oyfs5k4cQIlRcV8Nf8bdv60k4uHj6BXt+44HU7ufuFFMhtnUllRQZnDQVlZOUf2H6B37z40aJDCq6++yo033sh3333HPz/4Bzt27MBisfDBW++Qk7OP7t270atvHxxOJ2VlZfi9Xg7k5pKWno7HlIzLy8vj4f95iPKyMpqa3vQ33/o738z/hk9mz2b8+PEcPXoUh8PBI9MfxWa18uB99zP+uuuYM2cOT/72tyxbtowx48Yy6/33GT5sOMePH6d58+bMePp3bN26lT88/TR3/eZOHBUVfPSPfzD+2mt5YeaLfLtoIR2zsmjWrBkAX86dy7yv55GWlsbtt9zKLbfcwpw5c7hkxAhEhCZNmgTjlANY8O23/O2NN7lp4sSgMMnf3/o7d99zD6+99hp/fvVVRAwi+P6C3955+23sdjubftxAWlpajVL5+fkY6oRDsCAopXj5pZk8+dgT9OrZk2/mfoO/slK3I/yEp0hGrQXD0Ebty0qpGowBpofnvJBGVUq9bHqN7kPr0884jcMboY3hEQHDTkSeQlNaPSAiz4QZcB2VUjUUh8y+WAA8KiJvKKXOJObwE2AmMEVEZqiail2DgQuAj5RSJ43fVEr9IiIHgKEiIiGGylC0ETEYfV+XmdsHoz2JwQxq0Ypz09HGXy+lSeERkenAF+gY04fRRm4oTrcvw9teAswwr7fZKe5jnc8lIm3RLAq56KS04P0RkaHoSdsraCahWhFIPBSR36J5SU/Wvkhohh4/wXtoTizGozl+e6swNTgRSTHPvQXYchbnDqA9kKWUKjbrfxyd8DYGzR4QTknXydw2RSnl5RRQSr0cvk1ERqAna78A/xuy62W0UTtNKfV8SPlo9OT0MRGZY177r/gPwPkRiiCi349Sk8woEG/p9/kQwEAwxMBqWLAaFnze6t/mRx9r2dlpDz1Ez149adOmLTdOmMDUO3/Di889B0C9hASyOnZkwsQJTL3zLhwVTkSEF/74LDFxcRSVlBEbG8ctt97GY9OmA1BWUcEVV1zJ7/7wDD/t0cSnT05/jNGjLqVb12707N2XQUOG8tILL2IYBrkH9nP5ZZfTvFlzFixcSHFxMeOvG89111zH2LHjuPX2qRw4cIDHH3ucBFOSdODAQYwffz2jR4/m8ssv56qrrmbMmLGMGTOWm2++mUsvvZTLr7iC9HStaPjI/zxEi5YtiImNxe/3U79+faY/oj18e3L2Mnr0aPoNGMDw4cMBaNioEb169aJ9+w7079+fLl260rtP72AIQZ++fahyuSgrK8dq15OFli1aMGXSZOJi4xg1ciRNMhtz6ahR9O/Xj5x9+1i7dg3Dhw2jcaNMEkzPb4cOHRg86CJatWrF1ddcDUBCQgJ33XUXPXr2pEfPnny3ZAnR0dG8MnMmhYWFXHHFFaSlpVFlGkr1ExOpFx/HlVddRc9ePWnbti2TJ9/MiJEjGTBgAFlZHYmPj8dms9GkaVM6ZHWgYcNGOBwOUIqk+vVxlJfTunVrWrdqhcVkPrjj9tvp3asXw4YNIz8vD7fLxQvP6nHx3gfv4/N6iY2J4efduygrK+O2W2/lsnHjcLlc3HDDDVQ4neD3061LF44cPUpFVRXNmjcnIyODjz/+mC5dunD3nXehlKLC4eDw4cNkZ2dz+623opTiyNGj2KKiOHTgALvMcTSwX38c5eWsXbOGNq1bU1ZayqGDB+ly4YWsWrmyxk+kT+/eTLjhBnxmMqDb7eaG62/AarXy4/ofcbvcuF0uPG5P2J87+KeU0olnStXY7nG7SUxICH73uj0o06vvqqrivnvu5YnpjzNu3Dg+++dskpKTtdc/JDwoMk7byK0M36CUciut5PWfgHtDvZUm5dJcNF1XDXLCcKPW3OZG05xZqZayPC2YNGTvomOFw7l0A1ykdYtL0UZqKtooQUQ6oDlq56A9Y6FtDHwPpQkKxK78PmDUmm30oim2/GhPZyTUuS/PAep6rt+gPbz3hU86lFLfoz24Y0Wk3jluXziejDAxCYQ2uKimcAptX+E5bsPTAaPWrL8KPYmB6vseCjfwUF2M2kgQzQ87Bx3jPjpw/abBPgHYEGrUhrRpGrpfbjiT8/6K8xPnkcc2MsT8R8x4TqsIYoBNFIav+sW5aauebDkrK7BGR5HZshmVFRUopejc9UIzflSo8nkQuxVfhYvc/ftp1LAhTVo0x1FZwdG8Y9RvkEzL1q1ISUvl4enT2LFzBw2bNAZgmxlTOGLkJTgqHKSkpVFRWYFhWOjRuxeZmZkcOHgQsdtw+bxs3qYVIHr37kVG40ZYrVbcLhe5ublMmDiRLl26sHz5cmJiYmjevDler6aratiwIYahSfNjYmJITk5GiWCxaiNt7LjLsEZH4fJ5sURH4cHP1ddewy133M7Pu3bRoq1OhmvaUhO81k9KQuw2ktNSUahgXyYkmIlTMdG0y+qA1Wpl78KFgOZFDVBjDbzoIrweD1aLhYsGXcSq1avZvHkLDz38MK7KSmw2bQxnZDQkLS0NJUKDDC1Tntwghf5DLsLjdpNXVEi5o5xePXuxet06hl08gp79+lJaWkJCQgIejweLxUL9BilkNmtKVVUVSimGXDwci8XCyLFjEBEOHj/KtEenMeqysVxx+RUMHDiQPr160TAjI5jU1qNHDyx2e7Bt1157Hc2bNUP5/fQbOBBDKexRUVitVrZty8Zms5GSksLBg1oRuqCggC+/+gq320VMXBwel0szMtTTk5GS4mIGDxrEd0sW4/P5MAyDF158EQSOHT3G0aNH6dS5M0eP69W0gsICqioqaJCSwpEjRxARXnv9dXweD1ExMdhtNvr3709UTAzRdjuxsbFsDZEq7tG9u06mDPGQWq1W0tLSKC4pRil9X09G33fdtdfy6GOP0a1XT66+8ioGDOhP3z59SG2QWusx42+8gXlff81v7rqT5//4HFXlDiAQJqTO1EMbjh/QGc+Pikg3NFfmKrRXNIIg9f+XKK2FWiwgQZ4UulFEmqJfusPQvLrhErFnI1X+V7ThOBVTGlREGqA9iT+pEOGEU+B79HL+MGAb1WEIS9AhGw+KSD1zYjIUvcwcymveLaSeGlBK7RaRQ0ALEamvakqHnlZfniVO51x9zc+LRKQnJyIN7bVui/ac/qtwAne8mTQ5D71Uv0VEPkPztq4zk9HONX6IsG0FOpQjkpxtrjpNbt0ARPPqf4Ne2RmjlAoVVO+J7vPaYoQDy77tz+Tcv+L8xPln2IYtbRoWa5D+yTAMUD6dQOZXWGzVoQiFhVojolefp4mJgVWrnq1RT7164HIdZJOpDJafb25POMq27Q2C5dq0g1177sBcwSYvbxsbNyfWOObo8W6UREhDCYg+rFzdlIwMyDXTTMod97Jh873BchNvhv2H3sN0JrL9pwspKOaUKDP9VvsPtedohEdAvXpQUlLKalMR65jpAzme9z7rfnz/hPKB+n7cWO1AyDWjv3z+f7Bu4z9OOKZSU72ye+8TrFqjw5KOmW3ZuWsU9rDXb1nZClav0Z5hc15AVPR6WrbWz961dZDvCEev3vDoozB37jHe/Ntf+esbf0UELrwQ7rijpjBH4BpzD7TjyLET6wr02TqzD/aZ9+y9D04u3pS98yYym8KP5utp06ZNbNpUUyr9mwXzg9+P5y1i4xYdElZcos/78+465ZLodiYkYI2KwmKx4PdV23pWqxW/3x9M5jsZHnjgQVLT0njzzb/xlzf+ymt/eR0RYdDAgTz7x2fp3r17sGwg3GHV6tVYrVZGj7lU//4C+0WzmESIfThtmC/dPujYvnHo2DeAAhH5C9qjV+vS8v8nqE3TPeChCuqni06WW482mlagYzxL0TymzdGcnmccnqGUyhGthHaJiLQyvcOTzTrr6q2FmnG2L5mfh0yjdAla+OAiEfkRTWY/P8wjF+CHqy3j/SjaqE+kZv/VuS/PAU7nXCnm58OnqPMM5IFOCxGedIBWvZuG9k4GYoOrRKtaPaRCFEXPAU6oSynlE5FCtIEfjtrafFKISBya57cJcKNSakVYkcA96Wn+1YZ/9T35Ff9GnH+G7QlQVJMlmOpkoLPZTUJ90GpXAMXFWu0pFD4flJVpha7w8kVFkc9aWFizXPgxmRH8JYG6AgZuaJsiobZznwrFxVruNhSBazQpeoFqm8NXi8/L4aj9HLW1LbA9tF/qikC/FJwD9sVLLtF/Dgds3w4rV8KCBfDIIzBrFiSF+Wzq2meB63rrLWjV6tTtCFzT1VfDXXfVre3x8fq8LhdE1dE8MQwDwxB83sgrdQFP7UmNW4EJEyYwYcIESkpKWLN2LV/Nncus997j0rFj2Lp5i469DaHtWrRoEaNGjeLqy6/ko48+YnC/AcHziITFDp0FlFb2ukX0BXRAe/juQsfKGWjlsv8WPIh+IZ8g9GBmcU86B+f4Kzph6Da0vOqtaCWsE2fAtUApdUREdqGN1yh0HO1cc/dKqpXHAprU4Z7ZADVaBnBC6AU6rCG03PmOQDsTz5aB42wQITErsL0SncA1Q0SaoCnwJqOX6pujZYvPFdIJUxQUEQt6XEfqm9Ne+hERAy2S0g14XCn1cYRigXvyklLqwdM9x6/4/xPnn2Eb9pv0mcvzPp8PP/7qsAQRYmJj6N69hKqqKvr2fZg9ez6gqOhVLr9sMn5zmbSyqoqtW7bi812C3d6EXr12Uli4nkOHHqBx410cPuyiqOhCmjaNAwz0b8VgyZKjwC46dswkLq4DFouNjh23s2fPAXbv7kbnzq3x+fwYhhWr1U7O3hLy8+eRmRlH8+bjAaFHjxw+/XQJu3e14+abLwEMDMOC3w+VlYqcnNcAF6mp99K4cQOUMlAKDMMKGPj9CsOwYrHY8PshOvrPwB6OHr2FXr16Ex0di9fjBzFYvXonPt8zdO6cRfPm/4vdHkXDhpXA9ZSXZ9Ghw8vBsoZYKCuv4MiRqwAXF1ywktiYONxuL0VFG4E72LOnOVlZ8xCxYLPZ8fkUShns3XsjsJahQz+kT59RVFa6SE9/EfgTF1wwn549B2nRhehoIJp69QbQq+e3IEKP7j4eeKAJublumjfbSVp6Gl6vF5fLRXJyMo5yB1ab9kCGqowZFgsosFgtQQW5WDO+2ON2M3SojTvv9HL//ffz7rvvUlHxD8aMuRaPx0NCwkhgBU7n2/TpcwNutzuonLZs2TJ8vpF07z6ILl3mYrVaufjiV1i+/AlKSv5E79534vV6g/Rmbrc7SIsWFRWF3++nZcvjPPFEC/bt60qfPitNA1SLb/j9fkQkKCBhtVqJjo6mT5/RLFy4kJKSfzJq1CiioqKCxwVEI+x2O0opKisXAaMRw8DldiOA1RL5ZxsIR4i4L+z/ifXrM3LkSEaOHInP7+e9995jxaqVXHnllWZ5fUSnTp1YuPg7Lh05iuuvv5633niTG2+86ZTe4TOF+VLeAewQkS/RL8fL+e8ybFubn59F2Hem/Lvh+BrdtzeLyPfoWNH3Q+Mi64glaJnQ36Cz1JeA5loVkbVoL258SNlQbEYbJYMJM2xFpDVa9nZfWBjCuYTPPJflHIW8rEVLAg9EL42ft1BKHQQ+FK0s+jMwQERSQmJt/Zyd5/siTkwQG4i2OTafRb2heBkdWvGOUio8wTCA9ehrOZdG+684z3H+GbZhL0y/Uvj8fvxhVF8igsftwu3zYLNauf768bz//ge88sqrXH7ZOOJM15vNamXGjKeCVXs9HqLsPlyubVxyCbz9NsycuZWnniIYGlBaqj12AMOGHcbp1HkAQ4fCF1/A3/62ia5dN1HfJBvx+eDZ58Dvh5EjHRQU6IM7ddJLzl9/8zOjRv9cY4n89dfBVH0lP//V4LlPhipNPsCLL75Nq1ZvY+Zs4XbD736nv1900Q5yc68LHtO0Kfz44w7mzx9B8+bV7Z05E0z2MHbtGhAsf8CcY+/dm8vvf9+JK0Lyd1eu1H+ZmVC//o2sXau3m2Gk7No12vSWC2JKADscq9mwMR3BALEwbpyLDz6oYsLEC3j66STsdmtwMuH1GjgciqQkG4IFMSwYYsFvGvtKCSIGa9aU0btXMlarxTTUrfgV7N2rYx2Kil5i585P8PuhomInAE89dR/t2i0gISEKv1/h8RhMm6bjiUeNsnD48DQMw8rQoS4SEqJ45pknadp0Exde2Bi/X2GzRQOC3w9r1+bSu3crRAwMw8rYsRcyd+5GnnjiKm69dTDR0TEEJjEiFnJz81EKWrVqglLCxIldWLhwIY88ci9t2/6BjIwG+P2YHMIGhw4V0LRpJn6/orJS05VVVByksnIbNosdtwLEgmAQWNmtcuVq5hAsuj/N/Xqypuv9bslShg4ditVqD24DId+MsYmLiwsarKGf7dq147vvlzByxMVMuf02rPYohvXtf860GMzED4c6US4z4GOvCCvfDkAp9Z9KUp9rfg5GU58BICKXUHsy1WlBKeUXkb+hFdneMTe/cQZVfY82bKeH/D903wz0fSxEswuE4h3gFuAJEflKKZUPQc/en9ADtFaVy3OAgBHXFK1Id7Z4DbgdeElE9iildofuNFktekdYLv+XQ0RSgZZKqXVhu+KAeujQCnfI9kL08v6Z4kkR+TqEFSEa+KO5792zqBezvvuBe9CTpTtqK6eUyhORD4GJIvIk8MfwBDURaQX4lVL7Qrb9pz9j/qNxHhm2Js2X0smbyvw0DAOLYWAElj5RweVPEcFqtWKz2RjQvz+TbprIe+9/QO8+/Rg3dgxWm41vv11IQkI9GjbMCCZkuc0A2ptuakd2tpVVq7Zz551NGTigMx6vj/nzV1NQUMqdv7mccWOvRUThV16aN1Ps2DGbN96YzxVXwMSJg4mOtvLDDzvYvfsoPXq05MEHbyc6yopSPvx+H3/4Qzb33/9P7rvPwujRWaSmxrFx4wH27MmnR49UNmw4RHLyZBo0iMdiAaX8KKUV10QUfr8XEYXP68VqXQTk07p1I265pYhhwxphtQrLlh3l0KEKBgxI5eqru2AYmOIWfiZNOsLTT+/m3nstDBuWgt0OGzeW4fUq2rQR9uypIjq6AyKaSs1mqwCO0KdPNH/9axXffGNl714v7dpZ2bPHi90O06bFYbUaaCeHH/08DE20VUGDSyk/fr8zuGfiRNixA1atcnP99cfpbqL0pAAAIABJREFU00eHAuTlwYYNOkZ25MiTj5THHgO7XU8cMjL0kMnOhp9/hrZtoX37jRQX6+DXwMp948YOxo2bw6BBYLXCqlVw5Aj06QO9ey8lP39psP7//V/9d911H9GtGzRvridFeXmwc6ee+CxaVN2e226DPXvgxRfn88kn8+nYEZKTdcjFgQO6XU8+qSc+48dX98MHH+QxYMBt9O8PaWk6XCI7Gzp00DHEAFtMApq5c99j7NgTqUUDseBbtnY4eacBEyacvN/atctGr05XI7Cq2ap1axZ/9x0jR45k4qSJvPzs80yZdHOEBURl/kRrTlClWu2rRYSmDQdmishqtPcoD+2tuww9sF4IK/9ToNpTXnT1+WeF/Led+fmciAQYF95SStWkovi/w1+Am4FPzSSfw0BH9M2ZjY6VPBd4Cx3qkQlkK6VOT+1DYyn6HqUBP4exASxBG7apwJzwJXKl1GoReR4di7vdjPV0onlsO6LDGcLv/bnEEuAa4HMRmY9m5divlDp5gH0tUEr9LCJT0Ab7DhH5Fk0LZkMbzwOBfKrH378TDwGPSLXww2KzbWPQoSCvhrGPLAHGmwlnG9GG7/LTSCz8Cd0HoTy2rdCe7DPq3wBEJAN4Ef30yQYej7CC9FvgB6XUYOBuNJfw79AG7kp0DHAjdNJYTzS/b+jk5rSfMb/i/MF5Y9iKCH5TPlcETTck1mCCioggCNWiKBAwfH1mEOkrr7zMBe3a8e67s3jn3VkkJyczZsyl/O+TT9IhqyMNUhqglAomwURH12Pu3C9p2DCT3bsPsG/fUex2O506deSZZ6YwceIEvvzyS3r06EFGRgZ+v59nn72MpUv7sGvXLr74YgMej4eWLVvy+ONTuPfee4mOjsbn8wWFECZNghYtbuB3v/sd33yzldjYWPr27cObb/6OF1+cyYYN/6Rhwwdo3LgxUVFRuN1uxJSv9Xg8ZiyjwY8/bqCqaguQz5w523juueeYPXs2R48epWHDhkyffgMPPvggUVFRKKXIz8/n2LFjPPxwZxo1+pAXX3yR+fMPUL9+fUaNuo4ZM2YwceJE9uxZSVbWWiwWCz6fj6Ki5cAYhgx5gN//fhhTp04F9rJvn4VBgwby9NNP06FDB2w2GxaLhaqqKho1egH4I61bz6NHj8H4fB7T8Z5MfHw/unb9DJ/PrcU3RLFwoZu33/4Hn3zyBYsX70UpRXp6KuPG9eCKK26idesm+P0+bdD7PCjlw2IRvF4PVqvBE098zg8/bGDnzhzWry8mOtpOZmYqjz82gMmTLiEm1obX68YwhLzj9wDFdO82hq5dfcydu568vFLS0xO5776e3DF1GFHRFlO62Y/P56ZJE6F79wLeemslK1fuJTu7FJvNQlpaPP36ZTBiRGsyMlqCOfnw+Tx89KGPT2ZvZ8GCvaxYUYzb7SMlJZqmTevx8MMNuXhEM+LrGVgsC1FK8T8PDqNXr+N89FEO69aVUlnpIznZTvv28Vx+eSNTplgRFZUH5GAY0cREt0EMghMf8COidQvs9kbo53xgYuRDTzACkw8/U6dWsX69jz17/Kxbp43c9HS4/Xa47DJt8AcQsEGU0hNJA2jWtCnz5nzB1Tdez33THkYMgzvvuifkoJA/TuuNsBC9rDgI/QJMQCcOfQfMVEqtrntVtSJSXOqVId+XoQ2p/3MopbaJyBC0N3U0+jm9Fd3eEs6RYauUOm4adJdzekljoXUUicgWdEhBeAztOrShGhdhX+D4aSKyGW183IQ2AvcCT6Cv30XNoWQFMkVkllJq8pm0OQRvoTlfx6ONays6m/+MDS+l1D9EZCuadWIIcDG6D46g6ag+Ocs2nzZEJHB9R9FeiGT0JLMjsAsdY/3PsMPuQ/+Sh6HHoIFOOKurYXstOnzoRrQBeRg9yXm2thjg00A01VSl95+qsJmcehHam34DcJVZx3FgD/AA+lnzK/5DIGc/xs4eXS68UK1bvoIy8VBhhURlxZu9nxisRLVpxPLcnbRt0ZJkSwxe8eMzBLsXrAguOYGSD6jpSNq7dy/du/fkqquu5O2338LhWMuePaOJje1J164rsNs1i8AHH7zHmDFjgipcHo+H559/nvvuu4/U1FSqqqoQMRg9+lJWrFiBw+HAarXi8/nw+XyICBaLBa/XGzRsPR4PMTExrFixghUrfuDJJ5+kpKSEqKgo7HY7LpcLv9+PzWYLepIDDBBVVVXExsbidrtZvnwljz76KDt37sTpdOLz+aioqPh/7J13eFTV1sZ/e2YyM+kJJPSOIL0ICCgoiFJEOuoVsVfQq9d6FZQidq+KYrli5aqIeEUE6Ugv0qRICQQIPQmkzCSZTJ/1/bHPTIYQmuW73u9jPc95ZubsdfbZe5995qyz9rveRaoRJVVaWorZbI5sc+fORSlFz549Adi0aRO1atWievXqBAKBCKYzGAxGjP0wXZTf70dEsNlsjBo1iokTJ/LBBx8wdOhQrFar5kJFR+R7PJ6IER6mvQrzpfoM7tSYmJgIs0UYU2szIvydTicJCQlYLBa8BqVWuO+WKEvL6/Vit9vx+XwR/t2TsK+BIHa7Hb/fj9/vJy4uDofDQZNmTcnPz+exRx9j4IABtGzZMvICYTab9TXw+/D7/djt9khWtmAwGMG5BoPBk65R+HgTKsJKEG5PIBBg6tSp5Ofn069fPy6++OLImNpsNi5u2gQRYfu2XzCZNE+z1WYjZJzDYrHg9fmIj4+nID+fnJwcRMGB/VmkpaXR/tIOBCVEMBjEYrbg9Xmx2+wEQ8HIy0n0/JOQYLaY8fl8WC2aRcTv90fG1mw2s3//38nNfYs6dV6gdu0nyoI0w8at0nohn5/SwiJS0quQd/AQiSnJ2JOSCBJETIqQMnC+ohM7mJXCZI3ZJCLtwx5bEbngAfmTiBF8sxcNFaj+nwx4qkgM7yLRc0bpBBlZwJTfwbD9fyFKqS/QBmZNETn2B59rGf8L97nS6a0RkXqnKRfKPLYX5P+Z/DkSNJxByqAIJh2sbXiEJBTSmFuTimy5J44Tit6nFKVuN08/PQqA6667DqIoipQy4Q0DV4EaNWpogyAYxKQUR48coVJqKsVFRWzauJHsY8fYsnkzxQY4dtnSpSxcsIDDhw7jKCjEVVJCbnYOPo+XI4cOEwroxBII7Nm9B5vVytfTphEfH8+BAweYO2cOhQUF+Hw+ipxOzGYzpS4X7tJSzCYTNpsNd2kpwUCQkuLiCCerErCYzCQmJJJ97BhrVq/GWejA7/Ozfdsv5J3Iw1HoQIk2iAgJtWvWIiE+niKHkwP7syjIL6C4qIiA308wEMDv8+EoLGR3Rga2GCtmk4mMXRmUGLylwUCAGIuFgN+P3+sjNyeX4zm5OB1Ojhw6TNAfwKxMOrBJhCKHk1h7LPFxcdhirJS6StmXuRenw4FJKcwmE16PF7PJRNAf4ETucbxuD0og78QJfB4vFpNZJwsIhoiLjSMUCOL3+vAbCQSKnUWUFJcghtEZCAQiAV6iL3Dk2jqdTrZu3Yrb48Hv958U5GW32bHFWEEgxhJDjCUGszJhViasMVYkGCLWHkuMxYLFZEahiLXHRl5cwoauzWbD4XDg8/kYNGgQ1atXj2BV7Xa7vn6GsRgbG6uTR0S1MfyCYLfbCQWD7N+/n4MHD5IYn4DL5cLv9xMIBCh1ubDGWFGA3WoDEayWGEKBICajzWaTCY/bjd1mg5Bgt9kxm83YbLaytqANUbMRjKai+KLDrAe/F6XXBflTylA0NORffzaj9oL8rlIDNIvFf7ohF+SC/G/In96wDYVCEY9oSERnIpMQIqJ/R23vvvs+LVu25r77RjB2zDhGjBhJ+/YdWLhwEVdfczUDBg1AKAtCUxCBMQAkJyWhlMLtdmOz2Thy5AjLli1jxowZmEwmpk6dyttvvUWRUz8DVq5YyazvZ/HlF19QVFTEHbffQbMWzWnSrCmLFi3CbDazb+8+bHYbk96ZxI4dOxk7dhxVq1ajTZtLGDHiAR577HG2btnCm2++SWZmJt9//z179+5FgDdef4OuV3SjZq3a3HnXXezbpwOHvV4vLpcLR2Eh777zLj2uvprLu1zO7Fmz2LdvH0VOJ8uXLWPw0CE0b9mCL6d+ySeffILVauPzzz/n/vvvp3ad2jz77LOA4ssvvmTtmrW8+sqrvPfueyxZsoQF8xfw+j/+wWEjmsxkMrF27VoGDBxI5fQ0GjW6iHYd2vP4448zbdo05s6dS1ZWFogw5bMp7N27lwcffJBGjRoTn5hAg4YNGHr9UN6a+BZfTf2KnOwcVq5cyfTp00lMTmLwkCEUFRWxcuVKvvziS2bNno09LpaUSql8/PHHFOTn88knnzB16lSGDh1KfEICH3zwATnZ2UhIIsktYmJisFqteNzuiOcZYOPGjaxfv569mZkEg8EI64LZYuG7GTN4++23ydq/n2VLl9KrZ086du5E7bp1sMfaqVKtKm3atmH48Fs4evQoq1etYty4cRw7pp8T+fn5OBwO7rzrTlq2asmjjz/GZV0u57IulzNw0CD27NnDggULmDhxIiHDe/vOO+8weMgQ6jeoT0JiAi1ateTV117DYrw8zJkzh7feeovly5fT4KKGvPX2W6xfv56tW7cSa4/lw8mTWbduHa+99hqXXnopycnJpKen07VLF554/HHWr1tPXGwcU6dOZcKECdhtNu68805WrFjBtm3bWLJkCQcPatJevz9Iv35w6aUvRbzsoI3c6dOn07tnL6qmVyGlUiU6devKCy+9gNdXRrUXLdO/nk7nTp1ITE6ias0aoAn2z52w1xCl1AFjS1BKvamUOqyUciultiilBho6FqXUKKVUplLKo5Tap5R6sFw9vZVSopT65DTnsSml8oztrORrSqmuSqnZSqkjSimvUipHKfWT0ilIo/WWqZNxU9Fltxttur2CslpKqbej+lSglFpvBL78Vt13lFL7lVIBpZQb+BKNK325nG6iUupZpdR2pVSRUqrYGNuvlVLtyun2V0r9qJTKNsbjmFJquVJq5NnG8nxFaYL9MA7yNmMMw9vt51jHOY2ZUqq7UmqyUmqnMQZuYzzGKh0IdUrbjHZ0U0rdpJTapJQqNcbjjfDcUkpdZcyNIqVUoVLqc2Wksz1NW8PXzKuUyldKzVIVJ3+ocLyMOdjd+B0ZrygdMdpTTSn1kVLqqFIqGD2eSqkblFIrlFJOYxx+UUo9fZr7pZNxzG+6b8/Qp25G++sCdcvNgc8q0E8zrmN4fu5QSt1xhvp7KaXmKv1/4DXa9ppSKuVc2hdVj1kpdb9SanXUuO01xrhROd1kpdRLSqndxngUKqUWKKWuPl3/jWvbXik136i/UCn1rdI0biilGiilpimlThjnXqqUan0+ffhvlj8NxjYs5X1DYd7acJnZbEaZFWbRUIRgVNBSj+7d2bF9O0uXLKWwsBCLxcJFDRsy4r77GDlyBBal7Xhz1FmC/rIAyaT4BAIeLzZLDBIIsn3rNjZt2MirL71MYkoKRQ4Htw6/hc1bdHDvrcOH8/333/PLL7/wwvPPs2DRQipXrswjf32ILpdfDiLEGaS6hQWFzJ+/AKvNSpPGFxMXH8eq1Wv4dsZ3JCUkYDGb2bMrA1dRMfXr1KV3rz6sWLmSxo0bcdONN5KVdYBVa1YD8NJLLzH22Wd56sknGTN2LLN+mM2ePXsoyMvj/hEjOHDwICXFxZEl8rlz51K/Tl22/vwz3337LcfzNZHstb37sHTxYlKTk/ll61b2ZWZStWpVDh88SHZ2NtcPGcL3s2YBMH/+fH6YM4duV1xJpdRUqlWrztZtW5kzdw4tmzXD5/XicbtZu3o1BQUF3HDjDWTn5NC9WzcGDx7M2jVr2LT5Z/a8+QYP3D+Cfn37smfXLrKzs/USeihIaUkJP61dyx133MFzzz8fuS4b1q+nTu3auF0uRj7wAOMnPEdqair33HUXsbGxETiI2WyOQCDCL0RhadiwIcOHD6ftJZcQGxtLwO/H5/OxceNGNq5fz4iRIzl67BjLly1j+coV1K5VixrVq2O3WgmGQuzbt4+dO3eSkpxElbR0co4eZdu2bVSpUoWsA1lc27cvBQUFNKjfgB6tWqJMJjZs2MDCRQu5Zfhwdu7ciclk0t75oiLGjh9HwO+nVq1aNG7cmKz9+3l2zLN4PG5GjxpN27ZtWbx4MZdcopMz5R4/zsaNG6latSob129gxYoVPPPMMzgcDtq2bcvNN9+MhIRZs2exceNGJKThDgcPHiT3eC6JiYlMnz4dpRSZmZk0bdqUXr16EQwGmT59HSUlcOONrVBKRWA19913H1OmTKFmrZoMHDiQpMREflr7E2PGjWH+vLnM/27WSffq2xPf4sknniAlJYXhNw8nNSWF117/Ryywhl/HRRqDxr5VQvOjWtFBHt8qpXqio/E7AvPQWMzrgUlKqRMiEsYyLkBjNm9USj0iIuXbMQTNrfm66HSzpxWlVG908EsROj3qUaNtTY22jD/90WcXpVR7o72V0FjGGUAcmtd3HDDhV+pegk7yUMk4pj5lf7UWdPKEg4auAuYDlwFr0TjUADpCvhs6YcQmQ/deNDY3B83ekIcOImuFDn5777eMRwWyDE0p9jAaczwzqmzL2Q4+nzFDJzJogp67c9CYzMsNvW5KqatPQxH2V3Tw20yjvT3RGM5KSqnv0VjWOcBk9BgPB9KMY6LbWv6azTD0BgKrlFKDRGQuZ5ZlxuftaEPwdPOzEpqqrMQ4TwgjwYJS6kU040UeMNXQ6QO8iE7wcc1pkqf81vv2dHLA6EcYWzsxqqz8HEhBZzD0ofHNdvQqxSdKqZCInBSNq5QaY9RdgKbDO46ey48D1yqlOp/LyobS7Bdz0EGxh9HjVoTmCh6ExvJnGrrhNjYDNhj9SUNjlBcqpUaISEX49w7oOboc+BCd1now0FIp1d84Rwaal7quUbZIKdVARM7AYP9/RKLxdP+prXWrVuJxOOW4M08OuvKksMQhJ9ZulZK1OySQ75Alm1bL4bxsKXU4xOEokIKiQikuyBdPfoEU5+dXuJUUFJx2yz48V5YuRTZt6iylRc5IyIvL6RCvq0RKHIVSWuSUJx99RD79cLL8ZegQWbJwgUya+KasWbVS6tSuI4B89tHH8uJzE+Syjp0EkE4dO8rDDzwoE8aOk4LjJyQvJ1d27dgZqf+hBx+Qh0aOkOfHjZXvvpkut98yXACpV7eOzJrxrdxy019k8nvvyoTnnhNAevfqKV5Xiaxevlzen/SOHMw6IHVq1xZA3n17kvz9scdl9fIVUrtmTQFk/Nixcmh/lrz1+hsyoF8/MZlM0uiii6RypUry+aefyRefTZE3Xn1NkhITpUb16vLC+Odk3DPPyuGsA3L/3ffIP995V76c8i95aOQD8umHH8nk996Xu+64QwAxm82ycMEC+fTDj2TMqNHy06rV0qxJUwFkYP8B8uOChfLxB5PlhfHPSZfLuwggY58dI1l790nQH5BD+7PkqSeeFJPJJElJSfLTqtVy3113y5uv/UPatG4tZrNZXhj/nHz79XTJy8mVhg0aSlpamsTFxkrPq68Rj9sjE//xukx8/XUBpE+v3vL+pHekML9AnAWF4iwoFJ/HK8XOInEUFEppiUvWrl4jA/oPEEAGDxokmzf9LG5XqRzPyZXCgkLxerzyxj9el43r1suhAwfltZdellnffy/Pjhotn3/6mdwweIjkHj0mA/peJ/Nm/yA1qleXWLtdBl7XTx7560OyZtVqKcjLl7p16wogH334kbz15kTZtWOnLFuyVL7+aprs2bNHXn35FcnanyUvTHheKleuLIB07tRZ7r37Hlm0YKG8/+578su2XyQpKUmSk5PF7SqV7KPH5MGRD8iejN0CSLtLLpEF8+bLuDFjZdCAgdKieXMBZMJzE8Tn8YrP45XNm36Wt96cKN27dROllDww8gHZv3efPP7oY9Lzmp4CyKhRo+SRRx6RadOmybRp02TRokXSrl26APLDDw+Ix+MRj8cjkydPFkAGDBggBY5C8fp94na5JP9Itox5ZowA8trzL0rIExC/xyt79uwRq9UqqampkrF7t/i9Pgn5/AJsRPOxCgZN7bls6AeYoA0mW9T+rsb+AvSDICWqrAH6Iba5XF2PG8c8WMF5lhlljc+hTeF+tK6gLK2iek9Tz+1GPbdH7bOivZECDKvgmNq/UteCxtF60NjHaL1wUE92eIzRD0gBvqugXhOQGvV7E9owqXK28fg1W0VzBm0cCPDZedZ1zmMWNZdUBXoTjDpuLLd/nLHfCTSN2m9D8zIH0RRaV0aVmdAGoABtfu01O4e+n2kuhp9P/wIs5co6G2WHgGrl2jfbKBtV7pgD/E737Vn6dACdhveMcwf9YmaO2t8M/aK2s5x+d0N/TXTbjLLbjbI3z7FtLxr6s8pfI2M+pEf9/sDQ/SB6vqFZHJzG/VUvan+3qL7dXK7uj6PGeHS5smeNsod/zb3437b96aEIABLSEASf34fX66XU7cblKsVd6sbn8UY2f3jzevF5PPjcFW8Brw7S8np0XWFxOBwUFxfjDwTIycnBZrMx7JZb6N+/Pxs2bKB169aYlYnkZJ1IZ/ny5ezem8madT/RvVs3Zn03k5atWtG5c2dsNpsOxjK8punp6Vzbuzft2rWj4UUX8f7779OrZ0/S0tIoKCjkiiuvpHbt2rRu3ZpPP/sMpRTPjRtPTk4O23dsJz8/H7NSPPrII/rcK1dw8OBBXnrpJTp17ATAvz7/nKlTp6KUImP3burVrUuf3n3ILyggOSUFt9vNvqz9FBUX075de2JiYujRowc2m43klGQSk5JYt24dXq+XefPm8f2sWdgNj/OggQPp0vkyDh0+TM+ePVm0aBF3360pNY8cPUqltDRWr15N1WrVWLV6FTVr1uShBx+kRq1aLFywgGnTplElPZ1WLVtSVFTE3ffcQ+3amiYxOSmJYDDIxk2bWLxoER9M/oCsA1l0aNeeRo0asW7DeubPmUNKcjLzF2ju2fr16+EqKSFz927crtLIWPu8XqxWK6FQiG1bt0UC8kpKSiIBVfHx8VjMZkKhEF6Ph3179/Lt9G84fvw4c2fNZuP69ZS6SmnevDnHjh3DpBTtOnSgQf36uD0eWrduzaWXXkqs3c68efM4ePAg/fv1p3u3buTm5pKens7BgwdJSU4hvXIawUCQaVOnkheVcu2Wm4eTmJiovc2BAOlpafTv3x+n08mePXtYs3oNrVq2orRUU7jGxsVRWFBAcXExl3a4lJ27dtG4cWMefeSRSAa+4uJiTCYT9917HyJCZuYe5s2bR4MGDUgySI9nzJhBu3btENGBd02aNGHLljwaNYKmTWtEgg/fffddLBYLH07+kNjYuJOCMZ8Z9QyVUlKZ9u2/I/u++uorfD4fI0aOpF6YMLlMnuBkPrjzkb9JlCdVNAdoFjrd7N8lirxfRPajvR8tVZhIWcunaCPhvuiKlVIXo6PDl0o5ztGziLv8DhH5rfn0+qGNtlkiMrWC+g//St2+aJqlSSKyvJzeMeBVNN1Tj3LVVNTHkJyawCGApnMqr/s75Bf8XeV8xgwR2S+GRVBOwh7CXhWUgabNClNFYczdr9FG7JzoayCa2iSctzx6mfjXXrNfKz50St3yaQ3vND6fF5FIyltD7zH0PX06XuXf4779rVIKPCpRnnUR2Wmcq6lSKjFKN5zz/h4plxBEdPa/LegAvDOK0f6R6Pvnfim3CiQiXinja45Be+xLgKej55uIZAJvo1/Ibq3gVKtE5Mty+8IeaCfl4EWUZRRsc7Y+/F+QPw0UQRCDzgtUQCAUQpkUCAS9PqxmC0qZsVotoIRYuwkCQSQciR0V7BKm8woYJKaqHOm8yUizbomxYIsry7+bmJoSWb6vVCWdJ55+Cp/fR//Bg6LefBTJRmaGE4UF/PDDD9x33328/PLLKKW44aa/YLVaKSkpwRRjIWiYBB07duSyK8qSn/Tt3w+At959j/Xr1yMmxVPPjKakpIT9+/dTo0Z1Gje9mEAgwIDBg1HKhNlspttVVwGwKyODFStW6LcTk4kf5s3FZrdz13334nK5eOSJx3nwwQe56aabePudSWTu38ett95K1mGNmR04eBCDBg2K0IPdc//9BAIB+lzXF6UUTqcTpRQzZ+rVvkvataPU52XkXzUUKr16NZKSknj08cew2qwcOXaUdh0vxWzVQUmdO3dGxVjw+X3UrleXUq+HWrVqgcXMlkcfpXmrltx0y3BSU1MpKHKyfOVK0qtWZUD/AezctZNQKMRlnTqTezyXrdu2kZOdQ7WqVfEb0JHLOnambRt9j2ZkZNCqeQsCbi9Bvx+LLZb8/AIa1qlL3Zq1AGjS6GIqJybjd7mxGOwBbkcRQ/oNYPas2XTq2JHkbt1ZvWo1bVq24dsZM9iZsYsXX30Fr9fLd9XK8vHu3pVBg1p1qZpamX+tXw9Ar169KHUUcW2PaxCPj3o1alGzZk1izRaaNWrMjz8u5q9/fYgvp35JUmIi9WvWouXFTUhOTKZt85akxCVQvYo+R+GJPJJj46jTogbKCC6unJJK/Zq1qZSQxOw5P+jsbMrEKy+9HIFdeL0etmzZEoFg7Mvci+N4HjffPIy8Y9lsaXgRe/fu5eJGjcnKyqJm9Rp88fnnBINCr14gIR2cV1payrZt20irXJmJEyciSmOsCYbwe7zY4+KIscawe89uwul3N2/WyYS6XnlF5D6L3Nsi+5VSh9FLYucjDhGpKNXqMfRy+qYKyo6iMyZVM74jIvlKqenArUqpy6SMPuxe4/NcExN8iV7SW6eU+hrN4bpadDrg3yqdjM95v7NuZ+OzrtIY1fISxvs1BeYCO9EP8ZuUUnXRS8mrgI0i4it37JdoPtEdxngsR4/HiXNo1/+2nM+YoZSKR0MeBgEHVmB/AAAgAElEQVSN0UkMoid2BUnVAb1CUV7CQVunm6+geZvDcr7X7LfKARE5XsH+S4zPU6jaRGSPUuoIGkOfUs4Y/F3u299BMqVi6ED4JSYFCHP3dka/oF2vlLq+gmOsQLo6OTtbRdIESAbWydmD9ZqgoTCrRaSiJPZL0LR3bSsoO9M82yKnwmROmWdKqW5oD3C0HJByabz/G+VPY9j+GtHG3ikP0ciDPWzgal11yneX62e2bGkY2b9tWxPK/rsUEE4KYTrpt8uVDcCKFXMxm6FZszlkZCyP0tGpcZVSZGeHExWsYdeuq6Lq1PX6fNqIy8y8DqUUubna+ZGSUszevYOi2mNGKYXPpw3l/Py9HDhwc+ScrVvHs27dTrZtG862bQ6CwSDNmm3Cbj9CerqdefPepGfPDSxfvgyloF692Rw+vBidmUpnClNKceyYRPUXiov3Gu1fSG7uYUNXpx52GmhFj2c/Hs/btGlTg9Wr9TMtOfkQJ068QjAYxGaz0rq1iVBoM0lJ+v8uENiN3/8ZeXlmbr45htdft7J02UyefLIu02fMwxpjZuiNMeRkJ/HO+5BbsISefTqzbsNqGjWqxpVXFSNqFQF/gPopFly+PZjMFgJBP0U5Qew2O81am4ldpB0N5phDBNWPlHh137Q9pohPNXHznQ0gdBzkBLUbuRh8/ViCwRBdL29J7/qtSUpKwGQ2sX1HFvMXrKNzl1r07Fcd1A6O5+/W/U0qoFKVHJIrByFmNxc1CWC15lDszqVTl8pcec0dhEJFWG0mbPYEOnapislkJhDwIxKLJ7SXQEj/t5W4D9Dl8g64XC7yHfp5E59gpnHzSphM6ew7ou3DXbszeO7FMixyealWowojHryV2IRERv71LvymABOef5nlyxdz5523Y7XauPPuO4mJMdGjRygyNx1OByLCibw8XnzpdJkqT5aiIv38qFqlyulUcjh/w/Z0uNwAgJyKl42UofG50fIe2vNxH7BG6cCX29A4upmcg4jIDKXUdWhv1Z1GXSilNqE9Lr+FCzMcnHIuD/Xz0Q0HJlX0sI6WBAARCSqlrkInbhgKvGKUFyulpqD7WWLovqGUykN7qB5C4x5FKbUceEJEKnr4/qfknMfM8KQtAS4FtqM9rico80yPBU4XaHimOXmu8/W8rtnvIDmn2Z9sfGafpjwbnXgiGc2vHJbf8779LXK6VMzhc0V7hyuj7aGxZ6kzgbKMdRXJ+dyb5zK+0XVGy3nNMxEJGHZP9Ph249T+Lgc+O017/mvkv9qwBYkYkOEt7M0vv4pU3oukJUAgULZi5vef7v4+WQynLm+8EeLxx+Hxx48wfjx07nyqbphNLBAooLT01JeycHyTy7XWaKf+feJECcXFy0/RzzamemysG4ej7GW9ZUv46SdYtmwB27dDTAzUq7eKwkJo3RrWrz/CsWPT2LQpnEnrO/LPdHsaEk77W1S0jOPHl1WoEwzmkJaWg88HfuOv/9Ch9Rw7tv4U3T2RBd8tZGeXYf2bN4cNG46zZetoli2Hps0gJ3cUmCA9HRYu/JZKlb6lpARatMhh7/5zCqKlwBH+nEVm1qwzKwPPvaCv2ZtvQps2m4lOa+4w3v2P5U4kI1OvSAaM67dp87PUPIcElOHx2bqj0yllBcYib+b+u4nXaBdyjCmZXziTLdu1/VVo/G0NHQoPPHCms61j684GkV8tWoLJBB9/Oop2HUaRmamzwF1+OaSkGHRfJkWKsSLRpk0bflq7liBgMpvAF6DUUURK5TSy92eRXLlSpO6kJN3g3OPHad6seUWNqXamlv7RIiLrlFI/AzconY6zD/ph9koFnsgz1TMHmGN49DqiMzeNAH5QSrU1ljrBgF4opSwVLPFW9KAKP4RP5wn8tbrhh9wAETn7DQAYcINHgEeUUheh4Rr3oZMopAC3ROn+C/iXEQRzGdrDeSewQCnV9DSewP+EnM+YDUAbtadw5SqlqnN24+e3ynlfs98oFUEuottRDR2AWV6ql9P7bxYnYBKRSmfVPLP8mnvzdP+Nf+j4isg4NDb8/5z8lxu22goUkQiEIFISScFLRCcscXGX0KLFHrRhHEKv6EDz5tsNw1KMMol8L/sN8fH3Apvo128DF1+8n6FDH2DcOCcffPAcvXt3JRQKYjJpn6DdfgS4meTkXjRp8kRUnSFAiIt7EviFxo1/QGeNEurWvY9Dh3Ixmd6mfn09t00mhUiIjRt/BP7JJZdcSYMG96EMKMZ11+3lww/Hkpl5BTt27KNDhyQaN34cs9nENdcsY/HiKaxceT0ezzd063YV9eoNBSTyMhAMBhAJRTzgOvMXVKq0Hvia1NSh1KrVLnKMTtkrwLPYbPWoWfN2lIIuXRzARHbuTCY9fQQ2m4VQKEgwGMBkUuzePQfYQYcOfahRozk+nxeLxcwVV2xgw4bVrN9wOVlZq3nwwUupnN4WhXDZZctYsuQArVo3BzbTvfvVVEqrhUJQCp2xTvR3nXU5RCgUJCQh7LE7gJ3Y7U1IrRROOytgXAdBHysSAgU5OctJTvZx5ZXdjXI9t0wKduzYDBRiszUmMbEaIFxyyXG+/no3mzalMmzYxYBExk6M85hM4fEKodQulILYuIuNNoSMOShYLHlAATHWGthsdlBgtXqBo5hM8VitqQhCy5YBTKZctm+3EBNTOXJ8uG8iZfMreu5Wqya0betm06YQhw/HsGCBblOvXnplQ5lMKJOJxKQkmjVrxs6dOyl0OEhOPTvTTdu2bZk5cyYrV6zgqm7dy9+LDfhteed/L3kfHUF8K9oAE+P3eYuIuNBevSVKqUJ0us4+6KV8gDAWtTYnp+oEaF9BlT8Zn304OzTi1+h2RQeznJeIyF5gr1JqKtq7PeA0eg70svhcpRM/3Gmc89vzPedZJLzEer5YzPMZs4uMz4rafuV5nvfXyG+6Zr+jbEbDEbpRzrA1XnhqAVnlMan/SxJEwwN+L/kJ6KuUai4iO35DPRlo47aVUqrGWeAIu9E44DZKqdQK8OvhP9Kff0N7/n/Kb4k8+7221q1aidvhkBPOfDlUmi8OZ6GcWL1ZXGt3SiDPIQtXLZHs/FxxFuRLobNAcovypchZKMUFBXLkyA9y8OBXcvDgNDl4cLocOvSNHD48Q44c+d7YZsuRIz/I0aNz5MiRuXLkyDw5enSBHD26UI4eXSxHj/4YefpnZ6+UnJxVkpu7VnJzf5Lc3HWSm7tBcnM3yvHjP8vx41vk+PGtctll7QWQvLwMyc/fIxs2LJaaNauLxWKRjz6aJHl5B8TpPCpFRTny889rBJBhw24UhyNHHI7j4nTmidOZL05noXTpcrkAUlTkEKezUByOAhkz5lkBpG/fa6WwMF+Ki4ukpKREsrKyIhH4CxYskKKiIikuLha32y1Op1OSk5MlLS1NABkzZow4nU4pKiqSbdu2CSDp6Tr6fdq0aVJSUhI5vri4WJxOZ0S/qKhInE6nOBwOee+99wSQ999//5Qyr9crgHTp0kWcTmekrh49egggzz//vDidTiksLJTi4mL58ccfxWw2S0pKihw8eFBcLpeUlpZKYWGhLF269KQ2Lly8SErcpeJyl8r7/3w/UmYymSTrwAEpLnVJqdcjzpJiKSl1SVGxbldRcbE4nE5xFjnF4/XKqFGjBJCnnn5KnEVF4jT6UFRcJEXFxVJcUizFrhJxFDml1OOWq6+5WgBZvnKFeHxecblLpdTjlvfefy8yT957/31xFDmlxFUiefllrAgff/yxOJxO8Xq9UuJySanbLbv37JHikhIpKCgQt8ctderUkTp16oirtFQKHYVSXFIixSXF4vZ4ZNTo0QLIrNmzJBAMSElJiezctUsAGT58uJS4SqTE5RKXyyXDhg0TQEaPHi0Op0NK3W5xezzi9rjF7XHLjh07ZNeuXbp/xhwpdpXIlH9NEUAeffRRqVKlilSqXFkcTqe4vR7xeL2R7Z8ffCCA9OvXT47mZIvb5xV3iWZFCLr9sn3NBlm58EcJectYEWJiYiQ1NVV279kjft/vwopw4DRly05XF3oZTYiKJI4qi0M/dI4aOgvO538KHawTW8H+d4z6RkTt+7ux78UK6gi/Fd4etT86av+mCs5R81fqxqAj7EuBa0/Tr85AnPG9PtC8Ap0a6CCj3Kh9vSkXSW/sD0fM94nal4bGFJ4zW0JFcwa9FBxCZ5U6n2t3PmP2F0Pv9XI6DdC0aAIsK1c2ztjfrYK6by9/vaPKuhll437tNTuHvp/pfjmlL1FllxnlWZwcyW9Gw3eEU6PvD/A737en0V+PDgg95X48h36dci70fSloVoQaFRwTD3Q6x7a9YNRVESuCtdxYTjZ0J5XTa4j+r/IB9c80X6LK6hlln53vmPxf2/6rPbYiwuHDT+Lx7Dy78jlIRkbXsysBLpf+/OWXJpF9//gHPPYY3HvvX9m796/0MmJmI0vJ+V+zefOpFH3hpf5NmyoTxud27apo2dLEnDlzueSSdDp2tOD1wrJlfgoLhWHDYomLG87WraYoDLCJVq28rFypVy1q1/6QHTu+JIzBrVkzhqNHT2A2Q1raeLZvfxHtWNHHazxyGbY2XGdu7nGjH2+RmflNREd7erWu272TrKzhhEKCyWThkUfMbN1q45lnnmHOnEk0bZpKbq6bRYsOoxSMH98Gh+NZiorMEbxu5cohkpNtnDhxgri4GKqmz+DwgdmIwMWN9YCfOHGCli2rUVo6icMHzZhM+nhEYTZZCASCmM0xmC0WgoEQIlBSvE630bWJ/LwPDcemKXJeMBGfeAXx8Q0J+AM8MPIBFi9azHXX9mXQ4EEkJyWzefNm1qxZQ//+/Zk1axYWsxkTCkJCrM3O51P+xYBBA7nrrrv45JNP6NSxE6WlpWRm7mHpsmWUulzYLDEUl4TjFMCsFCoEJhQmpQOzQgYuxWax4nN7QQSLqcwxpUIaKmA2mZj4xpvszczkhRdeYPr06VzW+TLS0tPIyckhIyODTZs2MeWzKdSvWw9LjCWSIrhXr94kJSUxadIk/H4/I0aOJC4uTnu9o+T2O25n8+af+eCfH7C6WXOuvuYaatesyYmcXI7m5LBy5QqG3zSMy6/UDqx69erx/Isv8PcnnqTjpZdy/fXXk5KUDJpeJw3YhuaE/I+JiJQaONFwBHRF/JBnkteBekqnDT2Afui0A65CGzzTonQ/RbNBPG0Qo+9EByH1Ab5D8+dGt81nBK0sBKYqpe5De5Hs6CWlHhgrbOep61dKDUZzoc5RSq1BB4eVor3JHdAGW3VjX2vgOwM3vB0dkJKO9tTGUIa5xeivRym1yhgPhfYydkAHCC2O0n0QvYQ/nt+w/CkiJUqpdUBXpdSXwB70i8IsEdl2huPOeczQhvle4FGlVEu057IOGnYyx/j+h8mvuGZ/VDvWKKVeBZ4Etiul/g240HO4BTqo8LU/6vxnkR/R4zBfKbUCTYu1VURm/5rKRORHpdRTwEtAplJqLtqgT0DHBlyJ7m/vc6huPBqm1A/Yo5T6AR2kVhvNa/wEZTjWp9D3zINKJ95YShmPbSKaorD8is8FOYv8Vxu20bBZp7MNAwduoW/fqjzzzEWIhLBaLcabil6W1Uu2oci+H37IY8KEQ5E6YmOboV9sQqc9Rp83B/ARE1M9Ul6rljBpUoBHHini1VdDBAI2rrvOglIhNPOHCaUsJ9V5MrRJGzUiYLHA8eOQkAAiIWbM8GE2Q8OGGlPZo4ebQOAUNh7atIGVKyE+HurXz8YbRTTSti0cPQqNGoHZvAv3qYdXKGGMsMeTQVFRRoU6gUABhYVl/yfx8fDee/DFF7BqVS4//ZQb6VutWtCq1TIKKogBbdVKt79lSz8FBe9H9isFtWvD4cPQvHkOx3NfP7fGA0aSOBzORRw8WHFsT8OGn2Oz1sVkMtGjRw++/fZbXn75ZWZ8OwOz2Uy7du1YsGABWVlZzJo1i2AwSExMDEEjZfLoZ0ZTWFjIvffcy4KFC3h7/dskJibSoEEDRj89Cp9BL5eUmISIYFIKn9dHXHw8AQN0GwqFyl4pTCb9W6kIxOaLL74AET768COCwSAJCQks+XEJH370EdOmfcV3M7/D4/FQpUoVGl10ES+9+BJX9+iBxWLB6/Fiseh7ISExgSFDhvDpp58CcNOwmwgEA9q4LgdDf+vtt+nVqxeTJ3/I0iVLcDgcpKakULdOXe6/425uveVkFpqHH3mEatWqMfL+EXz44YekpaWBnvyXoUnK/wzyCdqwzeb8l3lfREMY2qPJ10Nojs8XgYkStZQoIseVUleiH/xXoB+M8WgD5QfKGbbGMRuVUm3QD7t+xjFedDKCsWfQ7YMe42K0QVZed5thXD+KNs7uMNqejTbaxqIJ+EF72F8yzt0bTc90Am2ovi0i0awCT6Fpry4BrkV70A6ivdXvS8XE/b+H3AK8abTvJvTM/ZtSqkRE6p3uoHMZM6WzWi1Hv6y8jPaQdQX2ozls3wBu/CM6Va6t53PN/sh2/F0ptRn9YnIr+uVmHzpa/3U5D3z67yzPo/He/dCJM8xouqtfZdgCiMgrSqnV6P+HLuiXOSd6hWcy5/gfZrxE9QbuR4/Zbeg5egz9UrsqSrdAKdUZnQRjMPp6u9Ee6ddEZOGv7c//Z1GGi/o/Km1bt5HVS5bgMgsl5iApEoN3WxbxFjuxjWqwYOdGOrS5BHtACAABE8SKCVNQ2LanC17vLmLtX9Gp803ccstwkhITGDNmDLGxsRw5cgSXy0W9evWw2Wz4fD7MZjNej58f5vzA3ffcwzuTJtG9W3dKSkpo0aIF69ato3HjxlSqVInS0lJCoRApKSkUFxcTDAaJjY+LZGgS0XRbfr8/kqY1Pz+fd999l5SUFG666SaqV68e0QFtuPTt25eVK1dy4sQJrNYYlBL8fh8WixkI0rJle3w+H08++Vfuv/8+AgEfoVAAi8WC01mIxWLGYjGTlbWfFSuWc+utwzGZFF6vB4vFZBhEQozZhMPpIDkpEbenlGAgQDDkJy4uFpNSuD2lxNrthEIBAkE/ZrOJUDCA2WI2cLEa3+v1eTArRUhCKKVxo4GAHxBQQk52NoWF+TRqdBFmkyIYCuD3Cx07PYzfH2Lo0MtJTrKRnp7ELbdcQTAYIBQMgBIsFjMeTylWawwoCIUCiAhKhV8C9PdgMAAIZrMJkZDxW5cfO3aU9PQ0RILExcXi9/uAECalCAT9BkZZCAZ9xMTEIBKioGAhfv8hGjb4nEqpAzEAyxHcsYqAdstsvvD9opRClN7fq3dvVq5cGeGcjRxbTqLrDRuu+k1KlaV5VuqU8xw6dIgmTZowfPhwPpz84el1UZGGRrfhpL5E79eF4cadkvUvLCEFZpOJgNuL3+UmKSWVQ3syqVqjOrb4eIImQUyKkEnX37PH1axYsYKQz4/JGrNJRCrClP5HROlUoZ+iuTlPST37B59b0Evo3c5Btx7aY3RKANP/Vpv+t9rwe4hS6gDAmQzbc6znnK/RBbkgF+TPKX8Kj204AEpFfhB54EpExyBoUkZgmIDdbsNs1ku1waD2bJ04cYLWrVpit9ux2mxYrVYsFgsJBhm+2WzGarWSmGDmyiuuZPsv20mrXJk9e/bgcrkQEapXr05paSlxcXHExsZis9spdblISkpCALfHTSgUwu/3k5CQgMvlIjU1FbfbjYiQl5dH165dad++PUlJSbhcLkwmkz7ewICEPXGJiYn4/X6sViuBgODzBYmLS2DmzO/ZsGEDKSkpKJWAz+ciGLRgNseRnp6OUgqz2cyCBRupXLkJycmN8fl8xMWdHFMR8PmpWzeOkuJiqldPpCA/nw0bNtCyZT2qVKlCaiUzwUAAt9tNWlISJQbJf9jDFzbYK1eKxe/3EwqFCAQCWK1WTCYTIoLX62XJ4u+oW+8SUlNaY7PZsNvtzF8wH4fDzeOPPcbYMWMJBoPEx8dTXFxMXHw8O7ZvZ9myZTz8t7/i9XiYNm0ajZtcTPv27TGZTHiNZAulpaXYbDZCoRCxsbHk5eURHx+v0ysrRVFREfPmfcnNN99MWloaJ06cIBAIsGrVKrp37058fHyE69Vut+NwOAzqtDwKC8s89pE5F/UZMWjLzVl9HYnwKAMnBTBWZNxKBfWXrz3aoC2/TxeEycqidp3GiC7/PXJ/lVV18rLHaURFtzASXBk+9tQX448/+QRP6R+2QvqrReklk0fRtDjnC0O4IP8/pCl/4PL+BbkgF+SPlz+FYRsRw2iVKAaCYDBIIBggGAoRCgkhBSGEUMiEu9QdMSa0pxOcTifffPMNpa5S+hrJBsxmM4sWLmThwoU0b96cfv36MW/ufFasWEn//v3Jzc3l23//m0s7dqRKejon8vLo2KkTS5csYe7cufztb38jMzOT3NxcYqwx9O7TB4vFoo3WEhdms5lPPv4Ek9lEq1atmDx5Ms2bN6dLly5ISEhKSiIUCuHxePh+5vfk5edFuHbnzJlD165dmT9vPoLQq1cvdu3axerVq1m7di3vvfdeZOk7ISGBjIwMZs+eTZMmTejfrx+bf/6ZQYMHs3v3blauXEnrVq2pUrUKhw4dIiYmhnp16rI3M5ODhw7RuHFjatSoQadOnQgGg2RkZJCdnU3Hjh1RSrFg/nyaNGlC3Xr1KC4qwmazEWO1UlBQwPr166lTpw4mk4mE+Hj27dtHvbp18Xi97N69G6fTSXpaGjExMfj9foLBIOvWabqvypUrRwz6Pbt3U7V6dQ4eOKC9eqEQe3bvprS0VCcPaNoEv99PSUkJyki2ISLk5uSgTCbSKqeRmpqqvaMCwVCQlStXkpKSgslkIicnh7i4ONLS0rj66qsxm80EA3oO2e12lFLEx8cDYDaH2QAUynyaJHxn8GRGGI/DiT9Mp6mjAinP4nHyKVWFhvF/SkROQSmcUerUqfOnSmmolOqCXlrvhk4Z+478PkkVLsj/MRGRivFWF+SCXJD/GvkTGbZ6SVYZHlsRAVNZsgQFmJQiVLY6jMVc5p2MMemu5GRn89ADDzL544955dXXCASD1Ktbl3p16lCjejWyjxxlzqzZWCxWAn4/1994A6++/DKDBw2iQ4cO2KxWbrp5GFarlSEDBpKRsYuuV3TFWVSE3W6nbes2NGvajJYtW+J1e0iIj+f9999nxYoVbN+xnRKXy4AXWPlm+nRuv+12hg0bhsViYeoXX3LgwAFe/UcZ3n7IkDKoXdUqVXjv3feYO3cu3/z734RCQT756GOCwSBmZSLv+An+9dkUdmVk8NZbb3HLLbcQCoX48ccfqVatOhc3bszuXRm43W62b99OgwYN+PzLL6hVoyYXN2pEYZGTffv343K5qF6tGvXq1KFSaiWqVKnCurVrWbt2LX6/ny+++gqrxYIEg2RnZ7N06VJ++uknatWqxa6MDJatWE6hQzO8VEpNJTUllRuvv54qaWkoEbKPHqVJizIu06dHjeLpUaMA6HBJO554/HFCoRDffP01HTp0YM/u3axft46ffvqJRo0a4ff6eOzxx8nK2k+Jy6XHvU1b/vbwwwweOoTLL7+cJYt/ZPOWLcz49lv279/Pbbfdxl9uvJGNmzZFvO11atfhtltv5dChQzo98s03k52dzQ+zZ5OWlkZQ9vHvf8Phw3cB99KkSRNuufVW7rr7roiRGl5AAPhm+jdMnPgmGbsySEhM5Oqre/D8hLIECecK62naVNPLrV27lvHjxzN79mwKCgqoV68ed911FyNGjIgY9KfcJVEGb2ZmJlOmTGHp0qUcOnSIoqIiqlatyjXXXMPTTz+tM71FyfLly+nVqxejR4+mf//+jB07lrVr1+Lz+WjXrh0TJkygczky5gkTJvDCCy+wYNFCTmTn8sYbb7BrdwbWGCs9e/Tgjddep1qtGicdc83VZVCEsCid5WYpOrBiJjpy+HJ0lPAGNPH/GsqJwRv6IjrNaCKaIudNNJZzKTBeNB/jmeRqNCaxFI1zG2QEDzmBtWjmgp/KHxSFtxxqtKEfUAmNyfyHiHxawTFWNMb0djQd0jF0hq4JZ2njaUUp1QSN97wCnRhgM/Dc6fB3Sqmb0FnV2gCxaDjBl2jMntfQuR0NyQC40uhrWMYbn2Gs7m1Kqduiyu+QqOxESqle6Cxdl6Kv0RFgBvCClKOCCkMG0IGE49C4wpqG7rizjIMCHkDzBjdEE+V/B4w+y3FnHY8o3VOgCEpn/xqLpl9KQwdTtUBjihcCj4nIKYT8RjDQC2gGA0HjJp9F45LHAt1FZNmZ2n5BLsgFOX/50xi2+hmuDLRh2GNrpMiNJGAwjFplQBKiFmXDHje328PY554jJSWZ3r16knv8BOvWr2dPZiZPPPYoDoeDwsJC7r9/JNOmTwfA6/USa7NTr0EDVq9aRYwlhtLSUlasXkV2Tg4tWrTAUVhIdk4uq9eu4Ysvv+ClF1/C5/Nx/PhxduzYwdz580hJTqFdu0sIBAJUrVqVH5cs4f6RIzhw8AA3DL2e7du3c8stt7BkyRIy9+7FWeTk2t59KHW7qVu3Dq4SFyuWL+fGG25g5qzvCQZNxMTE4HG7sdnt7N+/n7nz5pKxezfp6ekMHDCAffv2sXPXLn7evBmrNYbmTZuREB/Pww8/zOpVGqMeGxfLhs0/k5KSQo/uV3HixHHWrlvHkaNHuf+ee1i0YAFVq1ZlyJAhHDqkl+bDONDNmzdTtWpVunXrxo9LljD9239jt9tp0bw5cXFxHDt2jIw9u/nwk4+59957sVgsxMbH8/RTTzP966/Zl7WfDu3bE2OJweNx06JFc+x2Ox0uvZRNmzbxyCOPkFalCialqF+/Pj179qRb927s3beP9PR0Lr/sMkwmMxm7M/hsymeR+XLs2DE2b9pE82bNsJjN3HPvveTk5nBRw4bUqVOHmJgYlq9YwRN/f5JOHTvS99q+bNywgZLiYtq2bcvbkybxy/ZfqGfojIAAACAASURBVFIF/vKXbsTGXsTs2bN55G9/Y+2aNXz8ycfhmQUK3pn0Dk899ZTGTQ+7iZTkFBYvXsxVV10VSU5QEZfy6cTn89GvXz+cTidDhw7F7/czc+ZMnnzySfbu3cubb74ZdW9UbDDPnDmTjz76iCuuuIKOHTtitVrZtWsXn376KXPnzmXVqlXUrHkqT/jPP//MG2+8QceOHbnjjjs4fPgw3333HX369GH9+vVcfPHFp/Thg39+wJwffqBPz15079adlSuW8813M/hl5w42rt+ANdZ+2r6Wk/Zow2At8BE6wnwI8KNSqo2I7I46dxU0/U49YIXxvRo6i9g5B1WIyDil1Hyjjl3o4JdC49z9gT5KqX4iMr+Cw1PQueV9wL/RUfRDgU+UUiERmRLVXgVMRwed7EPTgFnRnK4tz7W95aQ+eqy2o+ET1dHBS/OUUsNE5CSqFaXUx8b5wsalA51OdgLQQyl1jeiEEVvQBuxY9EvCZ1HVLIvq+8Po4LXo7GyRzCpKqTFGPQXooLjjaKP1ceBapVRnOTWtqRXNAVwJfR2LOJXrtyKZSFng32R0JrAB6Ah0K/oanSTnMR7nIiPR82UW+oWnI/patDbmbsRIVkp1NfoWg6a724eeA0upIEXtBbkgF+T3kz+NYQtlGFuRECERRGljQcMQQgRDEEQIhEL4/EIoVPbQ97h1+H5Obi5dL7+MR//2N2rXqs22X7ZxXZ8+jB47lnffe58xo0eTn3eCTz/5BFdJCQB+n5+0ymnE2WMpKS7BZDJRXFyMz+fj4ZEP0KVLV7Zs3UKbSy6h73V9+fyLL3h21GjiEhIgFCIhLo4HR4ykebNmtG7dml0ZGQwaNAhXSQlDb7yBf7z+Os2bNiWtUiWmTZ3Ktb17M+WLzw3Dtjdms5m8vDyqV69ORkYG+/fto9RVSmJiAohgjYlBQiHeffddMnbvpkXz5jxw/wjq1q3LgQMH+OWXX/jqm+nM/P57atesRe9evYiNjcUao7PnZe7dy5VduvLwQw+Rm5NL9erVWbFqBW+89RbLV6ykxg3VCQYCTP/6ax566GGCPj8BfwCfz4u71M2hg4dYsXIFcxbMx2q1snbVKr7+6msCgQB16tThkymfsmXbNp4ZO4a3Xn+TalWrcudtt7F44UL2ZUGtGjW5oksXcnJzadiwIQ0bXsT+ffuokl6FGKsNd4mLDes30L17d/41ZQp79+2jbp26vDdpEpmZmfTs2ZPEpER6XNMT0C80hQUFZB87RlpaGgsXLSInN4erunXnii5duLZvX5YvW8b1Q4bw4MMPs3HjJgYPHETWvn20b9+eDz/+iF+2/0KTJsm88YaTls2HU7nSIMY9O4aefXozffp0+vTqzY033IBSioMHDjJmzBhSU1NZu2o1devWBeC58c8x/JbhfP/998CpUIQzGbY5OTnUr1+fDRs2YLPp7JyjR4/miiuuYPLkyQwePJiuXc9MPzds2DAeeuihyPFhWbx4MQMGDOCVV17h7bffPuW4efPmMXnyZG69tYzV4KOPPuLBBx/knXfeYdKkSaccs2jhQpYvXUaT+g1JSknlcOZenhz/LF9/+29mzZ7N0BvOlv0zIn051eN3H5o0/2G08RCWl9BG7asi8vco/Ylo79f5yC40P+VJkeRKqVpGXW8CFRm2rYGPgfvEyL+ulHoTTV/2d3QkdlhuQhtaP6G9cR5DfyzaK/1r5Aq0d/iJqDa/gzZ2/6mUmhc2HA0v7J1oL+bNIuKOOmYc2oh9AHhLRLYAW4y2HajIW2p4Vx9G556vqLw72qhdi+ZbdUSV3Y72CI9HZzGLlupo+rMrRSe6OKsopS5DG7X7gEtFpMDYPxptLFZHG+jRx9zOOY7HubQBzcLQQUR+iapnKmXXfbqxz4Rm37Cjx2VelP796EQhF+SCXJA/SP40UDjDQVsu0vtUj204kiXMRhCW8EJafFwcE8Y/R4+repCaksLlnS/j+iFDGDJwIK7SUgS4ts+1dL+qB1dddRUASYmJdO7cmYDfT+uWLbHEaHv/vrvv5fqh11O7Th169+xF4wYNuebqaygqKmJ/VhZ+r5e0tDS6d+9Ou3btGDBgAHFxcbRu1QqM9t11x50EAgFO5OVx6aWXkpWVRY8ePUjSHJ/06tWLxo0bU69ePbp168b1119Peno69lg7MTFWvB4Pfr8fv8/HkqVLUEoxfNjN9OvXD7vdTq9evejZsyf/w957x0l21de+3733CZW6uqe7Z6YnK4fRCOVRBCzAugYh4IJFEI9gwHo2YIPNtQ1cbECYzwNs62I/Ln6yn8gyNrItYST8hBDCSCShgAKSUBw0OXTuCuecHd4f+1R1dZ5ppbnXtaSa6jpp73Nqd591fnv91u+Vr3gFAE9se5JjjjmGFStW8IJTvG3oxg0beffv/C5HHXEkR2zaxNFHHcUbL30Da9asYeeunVxw/gXs3rWbkeERjj/uOHSaorOMKIzYtHEjaZKgggCtNf/1Va/mmCOP5rhjj+W/XHQR9VqNV118CaVSia//4z8yOTFBUm+ghGSlt3tiy0kn8aIXvogjNm6iEMUU4phCXODkLVsIlCJNEo45+mjWDA1xw7dvBODil78cYwy9vb309PTQU+nhA3/Yuj86eioVenp6uP+BB7jvgfspFAoce/TRDAwMcNJJJ2Gt5YLzL+AVv/FyMp1x1913s3nzZu677z5+eofnRJf/9pEUi4C2uFRTCmM+8acfA+CLX/wiLtW4VPP1f/gH0jTld951ORvXrGsvx1k+/vGPt8eh1rr9MsbM+Nz5auGjH/0oYRhi8we3vr4+/viP/xjw9l6zI7WzP69bt24OqQV42ctexubNm7n55vntzc4999wZpBbgLW95C0EQ8LOf/WxGX1tR6He/591sOWlmqdx3vPXtAPzszkPibD/sJLU5voBP6NraWpBP6b8JLxf4886NnXP3Al85lEadc+OzSW2+fAc+EnuCEGI+f9I68IctUpvv8yA+inuiEKKnY9vfyt8/3CK1+fYjLF+KMI6vatbZ5zvxU+l9ePuxFt6Hv47v6CRxOT6Bn7p/8zL7MR9afsC/PVtykH/HP1+kvQ8cLKnN0bq2n2yR2rydJt4qaT4809fjbzpJbY5W5bqtHcvOw1cvu3WWPRr4SPMjdNFFF88aDouIrcVhlUAaR6QhdpIG4CQY5XW1oZAUHYQCbGBx0uJQbcFtI7sLgFNOPYKjjz/AyMS/E5UDYhEggHPOG+Ib/wKPPfET3vK2k5Eq4JHHffKrivYSlx6nmcHQhgDIqFYrvPXt55Gmw0RxAWsM1k1y9DGerB0YeZijKSGRnHv+UezZN8wffeh93PaDn7Bj524ajeaMcxwe3cNxJ76Y9Zv6OWHzJqq9PoFpcHWVlUOncKY4DWMsQ+uGOHHLZiqVCkKAFY4wjnj88SfYf+AAq1au4rcvv5xSqciWYoFKpcLqtWs46thj+No//ANPbd/Ouo0bsNYSRD5i+4IXvIDfuPgVCGDT0Ud5NwFg08ZN3PGzO9h63rmMTIyTGE2pWiFJEgqVEtZYTt96FptfcDI/ftc7AXjjm96ECANe94ZLCVTAKaefBgK++x+38qMf/Yindu/iBYMnM7B6FS/59Zfx7e/cxLqNGzj6uGPp6esljCIGBwfpXznIxiM3IQNFHJZ42X+5iEpPDw89/DBSSn7rHe/giCOOIMtSypUKgQo4//wL/MUUgrXr1/O611/KnT+7k7//wtVsPessfutd72Tjho1IJbn0DW9gYGCAyy67jH+9/jrGJ8Z56UW/TrFSpl5vIKXkjDMGsA6sBJuXEj7/RReglOK+++/DKp/Edc999wJw3gXnoTukiNY6Nm3axLp169i+fftBSxGccwRBwLlnnIXIzIx1Lzr3PADu/fnPIdXeIKSlVbUWm2a4Dkuvf/rGN7jmmmu4/4EHGBsbayclAt5pI52enTU5qT7t1FPJ0pmztlJIVq1axdjoGM50uDtYf76nn3FGLhJqnxzrc5nD6OhoXj6YafuwhXHnPNcjE0LsxXumtnA8Xg95p3NucvY+eC/Idy3VWCeEEOfjyc65wCrmluRch/el7cSj80ylA2zP3/vwXqjg/VwtHT6VHfj+ofS1A3cvcP7fx/tjngZ8WQhRwkeXD+A9Xec7VkKrfvgzg3PxcoBLhS9+MBsRsFIIMeCcG+5Y3sRHvA8Fp+fv/zHPutvwBLaNZ+l6zBm7TI+DzrF7Wv4+Zxw456zwBReOO4R2u+iii0PAYUFsfTEob+GljEM52colI7WazGisNigjcUp4T1Kp6OQRe3LT/kLhQR577I1z2sjyP3s7dn6LRx79Vr5Pa98refiRK6e3zaBYhAcePH/OcUZyC/bHn3gXPV5aya5d8Lu/C1NTcPLJ8Bu/4YsrSOkrj910E+zY8Zfs3PWXXPp6ePDhr5KrIPj5vWvntAHQ4h133T2AEJJ9vgAYK/r388CDR/iLk1cqA0Ga+j/cBw78gp/feywg2L3bXyBjb+WBB0/NidZ05bAk3YG1lh/cfhxBlPGSl/Vyz703+O/EgRDTlcF27/HJwkn2CR765ZVMV+7yx6xUfCnx+x/4faJ4ACkVtbrPp9i77+/Ytv07vt1UMjHl92nt36oANjIumJgYo7c3oli+in0H/PrRcb8+1Z60JcmTPLXjI/mynfl1GWdF//VM1iSTNX/Mvfsl5R5/P91/4EF+9dRfMDb+IGmW0NtbolDcR73u9dkid9UIA8XAwAD79+9HBP4BYCIvD7d6zRpkOP0r05ovGBoaYvv27YS59GMpCCEYHBigME+0df1aTxYnJiYJlG9L5YmRQkiUVG2Lgj/64J/wuf/5PxkaGuLXX/Yy1q5ZSzHXun71mmt46qmnZlQuU/nPK1asaB+7s09BEGCsIQg6zjGPRvf19c0grgLa2xlj/CxKi3Dn+y6gDV6orrzGm6y30Ju/711g+4WWzwshxH/FR2abwM34Ke0anoj+Gt41Ye4Xsnh/YW6fR9z8hQn2HEp/O7DQebaO17pOK/Bfy0pmFWh4FjGAv4cs1V4FHx1tYZ87dAP1BceDc84IIYZnLX42rsd8Y2GhcQDP0NjtoosuDg2HBbGd9tJ0XmnrHK3bo7Wz6h23VnlBLtXqhRQKR1Or1YDvMTHRT7W6lVb1MJdXDKvXdwG/pK9vLZXKUYAljvcCjxPHR1IuD7Yrgkn5AM5BsXhCfoxWlTCHUvuBEcJwDXFcwDnLv/zLMBMTU3z4w3284hXFGdt/97sNbrppCiFihIiQUmCtQYgGYBEiZmaVs+lz9zA4Z8gdqhgZcVg7NecStohvqWTJMn/Pa816W1sjTefO+rUeDAqFXRQKAPtZyH60kOcG7dhxD6tXz13fKh0sxM+YyONbrWPV6/cwOnrP/AeehVIJxscT9uy5GjXTkrfdRpruZM+ezwK0q6vt2vUIu3Z9mtl46CH/HsdP0Wj8D446yj90jI/XmJi4n2DWb4DWmuHh4XZCmBCC3l5/n9q/f/+cKKwQgr17/X3qUOy+DgwPkznX9mFuYff+/QD09lYhyI/XehcCmSdJ7tu3j8//7d9y0uaT+I/vfY+enp4Zx/nGP//znD6J3GWkZaM2G61UzBn7PH+WY60o6TyjbdHlC+ET+OSiM51zD3WuEEJchSe2TxfjQL8QIpyH3A4t85gLnWfreOOz3u9xzp0+z/bPBsYB6ZzrP8T9llMVqHV+q/FVwNoQQig8yd45z/bP5fVo4Zkeu1100cUh4PAgtp1wbdYKeH/aQAUoKaf1tzhPeJGsW+ela1I+BZzKI49oVq26as6N/pFH3gP8khe96L9z7LFvAmBo6OvAexga+m8cf/xl7W3D0GtTTzzxB3O6t2rVp4BPc8QRf89JJ/nknvHx1wK38O53P0C1WiVN07Zn6t///e8CX2HVqvdxwQV/zoEDBygWi/T2vhr4AWecsS+viGXaJMc5Rxz7Ppx++t0YYxECjjrqHJ58chul0vc57rijkVKQZSlCwH33/RPwQc4++3Vs2fJJwFKt7gAuYsWKV3PyyZ+gRZqd8xXTSqXfBu7hxBN/lFf/ahAEvqpXkjSJ4zAn23DuuV/jttu+zPbtb+RNb/o/Wl8WQljGxiZ58snLKRQ0L3nJl4kikV+r7wP/DytX/jZHHXVB3v70g0JnaWHn/Dlu2fI3/PjHj3DgwO+xdeuRM/p7zz33AP9IHB/Bhg3vxDnLypUZxeKneeIJQbn8Xnp7YzofaK699nbgJ5x66tkMDZ2DEHDCCddyxx272Lnz1Zx22iBxfFT7+7399tsxxnDKKae0v4tTTjmFb37zm9x22228+MXT/Mc5x5NPPsmOHd4StVMGsBS01tz+0x9x/vkzZwVuvc3PtL7glFPasgeTvzvhMDgEgse3bcNay0tf+lLKPT10iiB27NzBk0/6JPPO5bZVSMI5jJvro9sSGmhrOvZZ2G/3WcbD+NKSLxBC9MwzHX/BIR7vGOAX85BauYxjLYS78dZiF+ATmjrxa8s85ukLnH/rePcAOOemhBC/AE4SQvR36lCXgGVmtLETrYGw0PqfABcLIU5yzv3iINtbLu7GyxFezCxiiy95O+Ne9jSuxzOB1lP8nHGVj7fznsO+dNHFfzosGWISQmwQQtwqhHhICPELIcT78uX9QoibhRCP5u8rOvb5kBDiMSHEL3OPw6UhRDtW6Ss+idwhIb/hdgaOpuc65xxmYmKCz3zmL2Ysu+eee7j22mupVqu88pUXH1R3DgUbN/qck9tvv50gCAjDkDRN+fa3v80111wD+CjYrl270VpTKpXaUcBt27ahtZ63UpT/OUTKCIh461vfhnOOK674DFL2EAR9BMEKJibgyit9ou3b3nY5cbyWOF5PFK3J2y4Tx0dSKBxNoXAMhcJxFIvHI2UJgIGBs9B6E729Z2DM0axe/SLWrXspPT1n09NzDpXK2bzlLf+NMAz50pf+nQMHNlCpvJCenhfT0/MS/vqvb2Nyss4b33gZq1dfQl/fxfT1XUy5fCoA5fLp9Pe/loGB32Rg4PUMDr6RwcE3sXLlm1m58i2sXPlWVq16OytXvp23vtUniP3N39xFX9/bWbnyclat+l3i+DL+9m+9jjqK1rN69fsZGvpDNm36E97whjdTq6VcfXWNtWs/zNq1H2Hduj8lSd7CNdc8RBiGvPe9X2Lt2itYv/6T/N7vfTpvYzvr1n2actmT2Hq9zkc/+tH8OnrbTuccr3/96wnDkKuuuopt27bNmEH4yEc+0tbWinaS4+KvFj7+0Y+RpRlSSKSQjI2O8Ref+QwAb3nbW+fZRyCkREjBEUd4Z4Yf//hHvsyxFAgpqNVrvOe9720nqbWWCyk6KkrMfc0Ycx37PF8RW+dr0P8Tflr3I53rhBCn4GuwHwq2AccKIdran9ye66PA5qfV2Wm0fGE/KYRo+58JIfqZdQ6HgF7gzzoXCCHOxCc9jeMz/lu4Eq9r/YIQom/2gYQQK4QQs6OXw8CGBdoexf+1nS+pDryTBMDfd17XjvbKQohzFtj3UPGl/P2/59ez1UYB754xH5ZzPZ4J/BAvdblQCPHyWesuZwF9rRBioxDihFwf3EUXXSwTBxOx1fgM1rvzDOC7hBA34w3Ib3HOfUoI8UHgg8CfCCE2A28ETgLWAt8VQhzXmVW8KGZFbLXW6EyjtcFYiWuX1hXMZLse5513Hl/5yle58867OOecs9mzZy/XXXcd1lo++9kr21PMzyTe9a53cc011/C2t72NV77ylQwNDfHoo49y880385rXvKbd/po1QxhjGBsb4yUveQn/9m/f4rLL3sxFF11EqVRi/fr1vOlNc/XBfmpY8O53v5ubbrqJG2+8kXPOOYeLLrqIer3O9ddfz/79+3n/+9/PeedNBwOWIiWtKefR0VFWrFhBlmWsXr2aPXv2UCwWZ0yTb9q0iU996lN84AMf4IILLuA1r3kNK1eu5Pbbb+eOO+7guOOO44orrpi33dmEbiE453jzm9/Mv/7rv3LzzTezdetWXv7yl6O15pvf/CannXYajz766Jyp8iuuuIIf/ehHXHXVVdx111286EUvYnh4mOuuu47JyUk+85nPsHbtWoQQaK255JJLuPTSS7n22ms588wzufhiX6HuhhtuYNu2bbz2ta/lDW94Q/saHXnkkVxxxRV86EMf4oILLuB1r3sd1WqV7373u4yPj7NlyxYeeOCBJc+vE0NDQyRJwll5+1mWcd1117Fnzx4uv/xyLjjvfMgTt9rvuRTHCVg9NNQ+h61nn81LX/pSJiYmuOWWWygUCpxyyince++9M+Z8F/rZX8iD3O65xQeBlwB/LIQ4G+9juwZ4PfBt4DXMDEovhv+BtxS7RwjxL/ikp/PxpPZb+OILTxdfx/uavgp4QAjxTbyP6W/i7b6OXsYxfwC8Kz//HzLtYyvxFmTtxDbn3BeEEGfgLdMeF0LchE+G68f74b4IT75/p+P4twBvFEJ8C7gL//f+B865H+RRz58CLxRCXIPP5jfAvznn7nPO3ZL/7f+/gEeFEN/G+9FWgE346OrteJuspwXn3A+FEP838Hv4a/vPTPvYjuK9bWfvs5zr8bSRJ4i9C28f92/5eHsc7+/768C/Ay9n7tj9Cv6aXcjykw276OI/PZaM2Drndjvn7s5/nsT7Qa7D/0FpeTh+GX+TIV/+j865xDn3JL5Kz1YOAs65WTfSnBCJ6eBSZ1R3vrvupk2b+M53/j/6+vr4whe+yPXXX88pp7yAa6/9J1772tceTDcOGVu2bOGGG25g69at3HLLLXz5y19mYmKCL3/5y1x++eXt7fbt20ej0aBQKPCOd/wW73vf7zMxMclf//Xf8IlP/Dlf/epX5z1+ixiGYciNN97In/7pnwJw1VVX8fWvf52jjz6aL3zhC3ziE4fmKNTK36hUvBOCMYZms0m1WiWKphPGW+1ffvnlXHfddZx55pl861vf4nOf+xwHDhzg/e9/P7feeisDAwPt7ec7h6XQ0n5+/etf54Mf/CBZlnHVVVdx4403ctlll3HllT7Br1qtzohmDgwM8L3vfY8/+IM/YHR0lM997nNcf/31nHHGGVx//fW85z3vaR87CALK5TJf+cpX+OxnP5uPky9w9dVX09fXx1/91V/xpS99aU7ffv/3f58vfvGLbNq0ia997Wt89atfZfPmzdxyyy0+seoQEUURN37rBl76kpdy7bXXcvXVV9Nb7eUvP/MXXPmXf+XJbOcLwNG2BrPW8vnPf54/+qM/otFocNVVV3HzzTfz8pe/nFtuuWVG0YjW6381OOf24qdtv4J/UP4DfMb5u/F2VzCtZ1zqWFfhLaN2490E3ozPaD8bP839TPTXAZfio8ASeC+e5H4RT8aXgyfx12AUT8Bej+/vK2YXZ8j78B48Sf8xXhbxh3kfeoG/wBc56MT78IR8K74q1ifwDxMtvAW4EU9OP5qvb0c5nXOfxhPEG/EPCu/HX4N1eGur5Uaq58P78MR2HPg/8XZwN+HPc05xhrx/h3o9nhE4X1HsxXiCejHeGq2IJ60tKcVBjd0uuuji0CAOJTlVCHEEPoKwBXjKOdfXsW7UObdCePPwnzjnvpYvvxr4d+fcPy903FNOO9X94Hu3YK0jlY6SFozd/xjVgUHs+j6+d//PuPDUrVQT0BKmIq/9C53M887EnODtQdCogz7v2fstRtJaBCIMQ5xzuczA91NKmWtXY7TWRFFEmqZIKRcsodpq069yRFFMs9nwGfLqUGyI52o5rLVI2XIn8NBaEwQKYwwyz6LvPN+DHS+d27W10Xk52IWSrNoJggu0eeutt/KqV72KD3zgA3zsYx87qH50tquUQgiBMYYsyygWi21982JYfKQssnaBVa2Sur98aBll6UX7n0PuznSJ6rmY77q31+XLdb1JVm/S1z/AzsceZ/XaNQSFAlpYnPS2fADCOSSCQEhkFN7lnDtzyfM6RAghPgl8GPgN59xNz/Txu+ji2YIQ4of4B6reQ/Ty7aKLLg4CB508JoSo4EsDvt85N7EIuZtvxdyZTyEux+uNWL9+Pc5YXxZXCow1fo4mkJg8pUW0JAgIlAOJRLS1t3NJ1JJwyyW2bl7SNv3Zv2vtk6KlbMWZwVrTNuSXUqK1bpO8xSNqrt1OliVtQuueZmJPq2+dKhGlfOW3TvJ56M488zsEdBLchSCEYPfu3axZs2bGsuHhYf7sz7zU8JJLLjkk7Wdr285rHIbhdLEEu3h/Fj/2IiuXuGzLiaKKVqGSJdqcTw6il2hPCLHg2J793Sml8u/Yj81Oi69nUpUrhFjrnNs1a9nJ+AjYCPP7mnbRxfOKXCcbzS5cIXw1tPPwwZ4uqe2ii2cBB0VshRCtetfXOOf+NV+8Vwixxjm3WwixBl8jHHxN7s5khPXAjBsTgHPu7/BTVZx62qkLU4DZ7ledH5x3R5jV14M5pUVJx8Eeo5MIzL7xL/R5we4sQfaWu+9i+7cimQscleVHtZdP2qSUfOhDH+L+++/n7LPPZnBwkJ07d3LzzTczMjLCO9/5Ts4666y5vV0G+W63u0gkcyk8HQ2qWCRyvfBOi7Xp2hv573Z6J4dbMFIO/vtaaOw60bIJm0nknyP97Z1CiMeAB/C+s8fip3Yl8Duuo8JXF10cRtiI13PfjJfjBXgZzQV4P9wPPI9966KL/62xJLHNM4evBh5yzl3Zserf8Fq1T+Xv3+xY/g9CiCvxyWPHckh13WfeLlvlSf2Nt2WEkE/tC4lrO9LMjmQtFWlbeL2QctG9p210F3AyWGDdcsmrWGK9W4z4LkqSxCLnudgxD4ZML7p6geM6nLVccskl7N27l29/+9uMj49TKBQ48YQTeMvHPsbb3/523DOsF7VL9nX+DZ6uYYAV819DIRf7Xhbuz4z1c34X3OKR6c4P7ahv/jH/xWsnk+z8hwAAIABJREFUbLY9pVu/Cc8qxb0Kr99/E9CDJwU3AX+Z6xi76OJwxF68DryVDBbji2p8EV8W+PHnsW9ddPG/NQ4mYns+PoHgfiHEz/NlH8YT2m8IId6JzzS9FMA59wshxDeAB/EZtu85aEeEeWCdzZPKHM6BMRZjnL/5204bMJdXyxLtz4timTLFtg5UiJmksUVerV143TKJbTtZbjn7LrYfS0T/3KFoeA+uP0tBCsmlr/tNLn3dbx7Sfk8rOWqRiO1iUc7lRokffPihRdcvdi4tSc7i8JKddvy2pX1dZI/5qHR7WTupc3qr9rk/k7qDeeCc+zjw8We3lS66eGbhnBvlEEs+d9FFF88MliS2zrnbWfj29dIF9vkk8MnldWlmU0opVKBQUuGcxlhLpg0CkUdyc87cmi6dcahF4pFiIc/xXMe48ErkPPZVM3ScYiZRaK1bLBJsn8ZU+mJYPNI7P6Hp2GJZbS62l8+BWyBSKQRydimwg4T0B1jWvp3Jc7Nh9SIkc+kDL7JqmYxw0a9ketZCuI6orZtev+BhW2RazCS0dBJpP3Uw6/t71iO2XXTRRRdddHHQOPwqj82CQHgD+9w5QDhflx7ZqlWvFiSZix53CWK7EJxzcyJq8yXZzPu5TRQOHcuNyi6KZcpol2pvsfVLrWs2lyeZlB2V6Q5530UuggqCBdeK2aLTznUsrKFdsj+LHHdxdCR+MXesmUUsXxdLiHQChMr71bn9svvZRRdddNFFF88ODi9i69r/tG/RxvqobNsqSimCEJRUBK5VlnUaB534JdWcWNOcadb59hMC1RFVnKGnneXDO1trSy6dmH10ke/b0ka6NuN009Gzzoh0TipmJH/lu7S5atv61E1v1ymhaCcETYf1Zko5wC1C+dq64c4+dn7uDPR1bJv/z9yr4B9ihOw8ifZBF+jE9Hpr7Yxzbp3v9HR8RxQy71y7GePmiTu2LmjHMWZ3aTH5gxDMltC2vgfn3KIR+uVG7+dEw2fNPNhw6Ye52c4IAE62vr+FyLz/1md2hGddptBFF1100UUXs3FYEFuXs4ootchAoJ2lIS19whE6oJbiGikN7cjKEZmyyMQgnER3eLkebBEA/563PStS1UqQaWeEz+tqMDu6NT1VO5MYzkRJO3QAkzE0QhAOShmUEwi0AyVIQxi3KYVSiXSqTn+hB5em1LEIJEUkrplCuUgta1AqFJDaYY0miyTaOQpIlHaeeJUi6pMTFCs9JLUaUamESRLCKMJa66fhpU/SS7OMOI68HEAIslRPR0I7bJ601pCXWzXa+GIOwmfeN5tNimGEs5ZUZyilCIMQqRRplmGdRQYKY12bNLaueRSGGGPQ1iBVgHUWJFhjcZmmFMY4axFCkGQpIg4xUpBZTaFmKUdFnLOMj4+zYnAlaaOBtcY/DAUhADrLCIIAaw2Z1oRRjAkcUimyNGs7JGijCcMIJ8AaL4EpFEu+fSlpNhvEBiIVIKTEWTetrxbT/FkGCmssMgyYmpyk0lMhTVJQz3zkfj6JTCdm09qDfQg0+YNQmqT+HKXMfY4lWOt/fzse2BzTD1RddNFFF1108VzisCC282M6YaWnp8KevXvRkzWmAoeOFRWrCK0gET5qtpQcYfbnVrnY2cS108h/9o15ISLQuXyxZKOe1JIoqEU5sQUKmSe3RRGQGk0aSWpo4kKBxtQUE3IEh6ARCKwxFMII6aAxthvR1h9LMmNQYQBSoJxAGItOM5jw/dOTI8RRRH1kD4ViAT2qPRm1ljCOCcOAZrOJm/TnrJOMnqDYzn43xrQrw1ljiOO4LcnQWqON9+hVSuEyjRKSYqlImqQIIUizjDDyRSvSNCWOYgrlImNj41QqZQqFAgfGJyjKAKEUBocREEYhQkiss2SygXQ+wcw4A3Xve4yAJIxIbRMpJaYSs78xThAESKl8EQbdwBhDoBTCGoIwREUxk2lKQYMlQyqF0564RipEJ754RqAkwjmyWt0Tc6WIgwAdQMNqrHUEgQIExpm2bCbLMqSzOOnAaCiFNCTIYoxseegeIjqLWMy3bqlkt9mFL5b26Z0psxFSQi7HcdYirJ3LmLvooosuuujiecJhSWz9zdv/XCoW2bx5M2UjiQZWMaEMWSiJmpoYiQ78jXy+G7TNo3stzFfNqhPzrV/Kh/ZQdJ3lzFFQjiiAkvKR6tBCaCBC4ZKEQiGiKCEsxJhKD0JbIhngmhqhJEZA5iwrS1VsIyWII2wckOqM0IByAheAKAVYrbHOYI0lDAOMtQxEZYSQiCIYY1BC4qxFZ5pVlQGyJMVYi4gliXMd0+cwLVfwBL7ZbBKGobeCwkcprbU0rSMxGS5N0EZ7Eqwh1RnWWASQ6YwDvzpAtbdKbWyCNGzgjKWhE4SUNNLEmzIECiMcFtB5lFAKgUJgtUE6CKUiCxSZ9dFjIQSNRiOPFMu2xMVo064IF4YhQaCo1xsY4YtVhFGE0YYgUCilqCdNnGO6vLDAR5XzqG0gpE9ezLdRQrarmEkpsNYRBgGyYyxOJaO+uMEytamth66FxuKitnGLaMHne8BrvWtnUUphs4zAAcYcFCnuoosuuuiii+cahwWxbWkuW4pAf5P1etTJ2hTFagk9VqNSKBErhYoDApMSOIEIZ0aolkNAO2/SneRgoYjtfDf1g/GqVZHP3pcKYjntnyoAhaIUx0QqwBqDNSCCIgkZSigK5SIWmJAaFwbIzNEXVsgwjBVAElNoGkouoKEsaSzBWcoWcI4ky6iUYgyOLJ+OF0L4ErpKYbUhDEICFRLGMVmW0ROEPkKLQwUBmc5wCKTy5X/LxhAFQcuPDGcsYRCQKIfB4KyPIDpj29pbJfycdZokrN6wHqUkhThmqlYjjmLAYbXFGUMYhVggMRoXKjKrQUmfUOhAZgZlIERgEeg8ktxsNtvlilvSidb3ap0nmNZarLGsqPaSJClh7GUO01FPR1+5SmYMUgqc8U4cURxjjG5LD6SKkMJbaykpkSrCWoO1DiEcSgRe/iADtDYE0ksikmVWjUuSZMEx1ipwsRBaBH2+ses6HmJmE2SZVxkLoojAdfwOSB9Jzz0puuiiiy666OJ5x2FBbIGOXB03Pd3qIFCKIIpIRB1rLAYDBEglkRayjgSe+eQDnVgqettp2TXflO/BkObFCHQzT+aRBpR3BUNLMNLrOEso3GSTUDt0miLjiKAY4ZTE1BIyk5H2RbgwxBlNsvMAYnU/NZ1SjErosQmcljRix2RFUS6VmBoeo1IqURsbI+hbAYWILEnbSVxOSiKhGB0bYUW1j0a9QawtwgnEWIJQEucsqqdCo1ZHhgojJMZZ4jgmrdcJoxglJWk9IYgdIgKswRpDEEXoPFKLc8gw8gTXQhQodKZJdAMygw4stdDitKYchQgEgXUIC86CFAEaB1JiM00cRQQGXDMhiAugJDJQOCkIChFaOKK4gNA+2i2VJNOaICfpVmuKhTKFLEUISZameWKgQ2cZUVxAG+MJo3NIqciylGIc4wCDQwXK65GzFOd8qV6E91vOBwRSZ0SFAqbeoFwukSQJpWeBDB5shbqliG1rWfthTXgbMRk4AgQ40XZFeKaLZXTRRRdddNHF08HhQWzbuVetbPVpKYK1jnq9ThyGeSJTvt46nBPtZJ9DSRxrNzsPCe6MWnVuM1/W+HxtLkasM+UJnXIQWDACLP6lpCTMBGO/2kMvIRP7h5kyKX3rh4hUSPrIbgglekMvZmWVUhKw64YfMbD5GMKj+yj2aNKfPkI6ZWj0KpqrSqw84kj23v4ApYFBSkYznGxn9eYTsDueQpRKNNOEal8fVhueuuce3Lp1NBtNeqtVyuUedm/bQViI0VgG1q1hdGSYQk8Zg2OsNsnmk0/GTNTQbooDo2Ok9QbrjziSWBpqw8MopTBRSM/gIMnYJOMTEzStpX9ggAjBQw/fxerVqxkeHmZw5SD9G9YxuUIRC0mcweT2XYTNDGEdDZ0xsGkdKRajBFOTk8TVPqRxTA2PooKQZpKgKhXKlTKjDz1JWCgg4xgrfGZ/qjOEkiQCwjimGIY06mMU+3oYGxtFqYA4TwDMjCGrTVEulUmSJkYbSuUyzWaT3movRmtEkuGSjDCKkEGMMwbTSHB55FQEiiTxZNlkuv3AlGUZSoVLjtdDxVJShBYWKp07e5vWcps/cIYIEAFO+3NBKTpr/3XRRRdddNHF843Dg9i20GHf1JIiRHFEI0upBDHewtbO8JHt1MIupS/svIErpeaNyHZGrzrXd1o1zW77YLWGWjovrHU+YovwEVvh/MslGRM797Ki3A8HJqlPjTG0egiXGphoEFRKBImhXCyR7trPqvIKdt79C+LVZ1CsrkA1DGHdICMwk3Vkqsl2jRD1r0VONRgdHUOsmiDbN0bNDtOzoo8kHaW4cpBNg0PseeIp+vr66T3xSNyT2yjtr1EoWVJnCauG8ECNsg3JnCEOCmSTGTvufIAwiryVmXWIvgaTv3qKkR07WLN2LfU0oXSMZPyRR5iYnMRYQ98JJ6CkoG80Zccjd7Nm7Vr6ig6akjh19IoIWU8ZefAJChMJBaEYGx9jpY3BpBjpmDywn/LgKsgM+3fsJB5PaYxPEa9bS+nkLey64TZWDa1mwlnUiio9K/pIR0cpVys0kiZ9q1YhV6ygtm0bYkU/k488QmVwkCCOiaWiZA2jwyP0b92K/eXj7HxyG9VqD41Gg/6jjsakKWNJjdQZ+vr6WLFmCJdl7NqzmzTL6Bvop2/dOkZ37aIQSOrNJpVqD/FQTCBi0mB5jgHPhK51IRnNQhr0lq+u9LYfOJv/Djr/gLlch4cuuuiiiy66eKZxWIjjhHNMZHWagUUEgkBJ6hgS4VCpYYVRKCswDkKnKCSggnCOL2cnIZ3PcL6lQWzpEDv1hAtFaeffZuYrNw7wEWSh2q9cUdverpD5ZDEjQOerCwb6Eqg2HFFi6e3tY8fwflJhqaiI5PFdiL1jEEtqug77x+idcmzftYNfqnGKRw2x67s/RT66nzRLqPcpXGjpEQolJGGliAwEshTTFAbjDM0spaenhxWVKqG2uAOjJBNTbFy7nnrSoDm8B1eKiHuK6MBhA4cSlmK5QLm/j3t/fg9hLhHpr1Rw9QauVodGA4egJ5WUjfKEPAoxaOqViFXHHUVcqWBkROAKiJEGvSakcWCCkb3DBCqi2oQpmTJecYRK0Ld7iv4nRpF7x0BBUAjZd9/D6AefYurBJyiFMf2rBlFphi4pmut6EJFjfVCi30S4NMEVBWltkt5yP8neUfZMjCCP38DI448xfueDZA8/Qc9kk/5aSrh3hOFfPMSeBx5iUEXs/Y8fUOip0hsopvbvZ/WqlcjBfqbSJuEdj1F+cA/7ntrJSFZDBwI7OgW7RylbRW34APX9w4zf+xjunifZ/5NfUJuaoFGNCYRY8KVY+OUEGCkWeIEWubRFCazyy7WATDiySJKFkiSAJIA0gCwUpAGYUPr+K9Hev3U8IfJqe1JirEFEITrwsytSSQLnx3Vkc4lN/vymu3y3iy666KKL5xiHRcRWKUW1VPY2QllGICWVapVGllAN+kgzTb1RJyjEFKsVNI6J2hTOGophPqU7TyRL63yS1LmWJ/+cogEzolcdkgi/eDq7q53YBrnx7jwQPtGq09S/k2D76KzrPCwBAiWhFPnErvHQskdPUhCKUjWid1UvQaVK5DQWiyzFKKno6a2irKN/xSBTE5M4Y2jYjPFGSpJBWFS4NKGWNT2Z0ikGhzMZLgpQhYh60iTLUqpHHsmBhx5kzcb1TO3eTqlSYu+vdjC+fy/rNmygXptEK8X+4WFqSZMLXnIhu3fsoDLch9GmfWmtMbiJCfbUx1hz+hZEIeTOn/2IF552AqHtJwtC0rEY61Lo6WNSWVYduZ7t+/fQO9CD0Q0m94/gyoOMTo2xY3gPMkso9Q8SKcWYazIyPsH6LcfTHJ2iONiPVo77HnuYo3RIahPqtToDwyM0xyfpK1RQyiFVQLVSJdg3ycTEFKoiYKrOQLkHWelhKmuQSMuuxhSlUhETSAbXrCKoxGRTBiLJcHMKAti+azsbygV6+quoSh/1Wp0VLvRR9pEx5HANVWsgxuoErsRqYlymKPUNkuo6xQQmxyZoFBeWIkg5a3yJ6UILsYbQLGD3lQunfRGF9gCcftDT8+jGW6Z6znQU2hC5H6//nNgMowQohXAOrQ2FYhFy67YojlodmO5Ht9RuF1100UUXzwMOC2JrtcFmGms8SVIqpFAssGv3bvoHByhUSihtaeiU0dFRrBTIMCCSAaLp/UDn2hRBrNR0ISY7qyrYAtOx82HuugW2dR3r2+R2Ogos6eDWLbKS62zrukkUKlYfvYnB9WsoqZCs0UTkUV+TlnHCYQohhhQ1UCUqKFylyupTjidYtZJVlZDEZiTSoSNFVg5Z+4ITqKxaSdhsojatIlw5yMoVRQrlMlOjYwS9BURPxOBxm6gVFStPPIq0HFHeOMTK/gGaaULYDJH9JXqPWAuBII2g94i1yP4KvWItcaNJUm/QrDeokRAdOYQ86Sho1qiMrIPVvWg9SdMJ+k48gigs4mRIMlAiWVkmtWWi9SvR0jL+k1+wllMoKUFPZRV9fXWkCKCWUJUFdu1+kr3pMG5kErVnhGjTeo6srGRgsJfGgV0UghC0hkKIDAUqCJkcHqFQNhSbKUPr11HpDWnsO0CYpNR1Slgq0xitEzbryEJA3WQM9VXZc2A/40mddaEiKhVZs3YtU/UapXKRvfv2MjG6GxFFNJIJgtF9rOipsuKYDTRHJwhW9BAMDfLwtidZE0nqw7sprh6g1N9HtRqQZdmC4820HshaD1Ri2jEkCQX1eMGR2k7qku3Zh45iI7JzPObzCLnsRwg/syDa+vbp35aCjCnKAJOmqChisj4GeNu5qFLG5OficP7Brosuuuiiiy6eJ4jDoTrQKaee4r7//e96uyipCIQiqTXZ+aunaDQarBocZGjVWmSpgGk2SbUmikJ0KGmg8+DSLD9b4StWteBm33BnsFw6olXM4K0zHA9a0oNFzkXkdlZz2mutE9Pk1nVE1qwxBFJ55wAkhTAkaSRgDXGhgFECLRwuJ7paOLRJKMkCabNGOSoSSIXGYoSgblOMcBTqhkqpzGTWwEmJUAGpSQhkgDDeIzfNUopxgbpOicICU7pOKSiimimpTgmikGaWIpWiVKgw1hgnDILcniu/Ltb5Kl9CUKobJIKptElQKdI0GY1mk0gFREISi4AISdJs4oCpZp2wEHuXhckpwpV9GAlBPSUeT5DaMkGGW1VlIktQiabXKOxknXJfLwdqE1TjCgdG9lNe3U+PjGhs20MhCBmWGY2Sor9SJT0wDlIyLFJsIDl2cA3hREo2WmNq7z4KhQJSSdIso9DfT21khOrQamxPD7/62R2UymWsEKw95hgmx0aJpzRGZ9T7Ioqr+xnde4DVxSrNiUn2Dh+g1N9HKYpJD4yjJ+vsGN7H8ReeQ3HDKqxeOOXK67nzKyuYEbF1YvHxN3vMLrpd/lqwsEN+nGatThAE3hc4DDiwbz9CQG9fHypQ7cIdLWs4lx9cSkkhiu9yzp15UB3qoosuuuiii6eJw4LYnnr6qe47t34Hm2mUA2UEpaiAaSQ89dgTmGZKSEAYBL6EqfNEEJyftu3Qx7a1sOCtmFp0VPrbeGu7lpF+a59OBEq13RbyLdpKB7eQDAE8oW1dzxYx6Vgdujw5jWkPWydFW9ngWv3KiYZzDikkYRiQGePzzgQ0M082jTEEMiCSiixNCcMwLxkb4iQYawm0JYpjas0mQdHLHcAnBIVIXKbbDwClgRVMTU7gpEAoCdpQqFR8RTLrp5+TNM0riIHWvi2RH08KiTWGLFYkJvO+p0HEWG2cSrmCEhJrNApfFCIKQjKdEYYhmda+CIBwZM7QNBlRGCOFIBK+yEIdg1UhAkdsDEXtr0cS+OvedJowKhA5QUkGGGNoSktDOrTOKAURoYyoo7HCUHEhMtHYOCTN0ja5i6KYRtpsV0prNBuEcUwkQxKTIqREG01PpgjimAmbkAgvQVkRlrBZhrEGGYXelsz5Yg4mlIyYJol0DKSLlOtqVcFoD6OOpC7cYkqYmZ/yB7bWcqNNrjKY6Z7Q+SdACBBSTrcrBSqzKKHImk3q9ToHRofZsHEjUbFAs9n0Fe/y9qzzriUtXW4hLnSJbRdddNFFF88ZDgspgnMOrTWhUgjjsNKRGk1UiDluy2YakzXGh8dI6g00EKiAgBCLbU99zuCmedQ0sSb/KBCuRRT8u2Wm/6bo/NdaOlfPtQlbmNy6Gcb70+QCfIJN63htSYL0/Z2WKPj1NieyWIfKEgom9xIVkiDLkIklCBSWlEwI0jTFJpl3JxAZCgHa4IRAZxaXpWhj0LlVWiAkaZqhnCAOAmr1OjRTGmkTGUVtYp9O1vOKXQHNesLo6Bjlcok4LlCv1wjCEJNNF0AwxhAbAVoTxDFTUzWqhSJJugeCECEgMQatNZO59EQ4KEQx9Swl0RklpwicIy1HpIEgcoKooRHWIioFEqsRRhDLmCxNmBIaoyCOI5pZRuaAQtFXOlOSQrnkI9mAAaR1lIIQacGkGfVYEoYhSf5QkEhJliXYIPSFLNKU0oo+apOThLntXCwlLgyYaA4TFiLKcYHh0WHqYUQcRoi8gEMhirDOYsKQiUaNUrFEUTqSBUcQKKnmSFRbMwDBIpZebTLqplWuQsi2ZjxLE4QUCKkQUuI6GpFS5nU2rNdiO4d13p4sQJHVGkyMj9Pb18vAwKB/iNKaMI4w1uYzEW7mTMXz/8zcRRdddNHFfzIcFsRWIgiNv2mnWYpUAVNpE4RABQGqElKsrqEsJJ3KVSccZsY9fuadVErVXparB3PN4qxN2+qFnPQ6N2ODmURCLB617Txkh44WRF6laba8gbbvqTHGT+U6B8YQhCFSKZwxyLygg5IKZS1plhEWYjJn0ThCKRAOIhmANgQIXKbJcL7Qg9FoLEEYkKUpUoUobYmDAImgojVOCMoSNA4ZKGwjxTlLOS6QZimBUKyS65FSYrUhThLiQgGts7ywgb+GRgnSJMEFIXGSEgYhIsvaBSEEllhJtPaSBWkdCoFIEopWUM4cgYOJ0JGEoGRAT82gLEw6jRG+BHAzc4igSqY0YZqhjEA0EqI4pmk1yBAhBAmWTECCQTlB6BxJbdLbpmFQkxnGNnwFNtvMCW6AsTVfDiQMqI83aCZNZLFI1uHvKhA0tSas9FBqNnCiTt0YCmGITjJsECBChQ0lSkqSAxNgHLFdeAxJ5SPHrSIlLo+C4rzTwHwyl85xNcOqS8r2Q0eSR6WVClBK5uHZfKTn358nxD4qLHOtbaoENZMSF4tUq73YQIKU6CxF5rMIuax8Gh1R5y666KKLLrp4rnBYEFschCrktttu4+bvfpcoirE4jHPovLRqmmlOPvlkLr30UtIsQymFNJbAzjpQB4TwK6fVAQuT1U5INzvRbMZRZwkMZmL2vXxGO+2fZxLbXEaJdA6VkxBrJSKzkHnPUJPva4UF56ujZWmKaWcBCaxzZMKAtVghvWTDWbIs82TdWaSwBM6TSYAs9Yk/1nrSqzOTF8CwBFJircNkGYEQ4CwCT7R1llKII3CWQHltsNYaBKiokEsmEsrlEjrLIFLtqGAQRF56IAVGayrVHqzW2EKACQO088U3pHSEVmOFIKsqUm2xzlAuFDA6I5IK6xwVBZFUpLUGPYWinz7XGm0txUKBRqNBHAYUBSgk0lqyZkJUKBA4hxTCl7sNA7TWxC6Xrji8blhKjLFUlU+w0jrz5BDAWJw2CBUQGo0KfelcrKWgAow1qCBAO4u2hmIYYbIsT9qaH7Y1YFvjsJX8hY82C7vAzm25TMfHjghv0fpywkLKtjdtm9jmDQg5XZbX4YlxUQh6JATFItI50qRJrAIiGZNmvgCFdRaR910KCc5hbLd0QxdddNFFF88tDgtia52jmWXc9sMfc9Xf/b8oJXFu2vYoiiJqtTqvfvWrePtlb4Y0I0B4AqQ6k15mSQbmtCRmrFtoSne27Hj2cRYLRM1ts7NwxMLTyJ39cTBD4zsnsUdAkEfYZkxNt3aRXr/pFAgn244MUkiE8clptMhR3o7MSaJqkRprMc6Xk3XCIaQkyzJC5SPfVkJYjJmamvL9CAJkqAiCgKTRpBLHGGOQAhpZSrFYJGtFQnNLNxUEJNZSq01RLpexSRPlLE5KrJSEFvpVRJIkpHlfAiWxSROjNbZQ8ITcOJA+mp0Zg9P+mmdJShSEvoiAtp6I5iIUFYZkuc7a5lpSbcxMsidAKOUJXjCtiQ1yizkLCBVAFOC9ORQGEKGaXk+ABSSKCL+fCuJF3QPmTeTKYVsR0oOAm/Eu6KwJMbsQbrswie+AlyJYi1KK2lSNO378U3bu3InWmnq9jrWWyclJGo0Gmzdv5jWveQ2FQgGrDWEckKZpe4x20UUXXXTRxXOFw+LOI4QgiqKcMPrIX5aZdmZ4s5lgrffMbOlxD7Z86GI4HBLnDne0rrPWGuccSilGR0fZvn07WmtWrFjB6tWrGR8fbxfAKJVKNJtNrLU8/PDDVCoVjDGsXr3ak9MgYGJigkqlQpIkCCHYt28f1Wq1XXI2jmPq9Xq7zUqlgpSSer1OFHnf1CRJMMbkek9fdGJyctKTbClRSqHzpLRnC8sdQwvJCcAnEB6a/dxBtrjEfvNV9BNCsH37dj7/+c9z5513tpeJXNfdbDa58MILueiiiygWiwRBgLUWrTWlUmkZ/eyiiy666KKL5eOwILatG6oxhjTVhGFAoRC1l0sp29GjFtI0RSm1KGl5JsqPPtNYjAgdXv1tSSL8dTfGtMsQDw8P881vfpNjjjmGc845h1qtxs6dO3nooYc44ogj2Lp1K+VymR07dnDDDTewZs0akiThhS98Iffffz+Dg4Ns2bJtNRQzAAAJ+UlEQVSF2267jd7eXvr6+ti0aRNBELBr1y6staxatYr77ruPLMuYmprikksu4ZprruHYY4/lhBNOYNeuXdRqNYaGhujp6WFqqkaj0aCvr6/teBEEXloQhuFz/hCzVHtymcR1cSHMUlh8qkHM0PO63F3Ej4F9+/YxNjaGy4syBEFAGIbtcaG1but509yho9lsLrunXXTRRRdddLEcHBYldVuJU0IIb22VaZIkJU01aep/zjKDMYZ6vU65XKZUKj2tqc7Z5XcXKsd7qPsu0eqy+/tcY9rezLV9TlsEd2pqimq1SqlUYtu2bezcuZPx8XEqlQpPPfUU+/btY3R0lMnJSV74whcyMDDAhg0bCMOQU089lXK5zNjYGDt37uSXv/wl3/ve92g0GtRqNe69916azSZSSrTW7N2711t5NZucccYZ3H333YyPj3PHHXewZ88eHnroIYIgYGRkhPvvv58oitoRwyAInvVo7fLGwdLjb+GXxVm3rJe1dsGX/86nrfJan6UQhDmJVUq1beis9Y4JxhgmJyfb8okWmY0iLyHpoosuuuiii+cSh0XEFnxZ3Ve+8pWccMIJ7ankMAzbkdlGo8HGjRsplUrU6/V21GghPeLhFf30mF3RqROHW399Uvt01LYVjTPGEEURGzZsQAhBT08PWmvuvfdezjzzTKrVKtVqlf7+fqy13HPPPTz44INceOGFPPHEE8RxzMqVK5FSMj4+ThiGnHjiifT397N///52hLXRaFAqlVi7di29vb1MTk5ijOHMM8+kVCqxb98+nHOceOKJaK1pNJqMj48DM6fylVIzptifSyz6nS6UAAbtaOmCq5f5gLRo0mNuBCLy/1yrj9ahM68gbhHVQqEA+JmWOI5Zt25dW0PtJUWCyclJyuXysvrZRRdddNFFF8vFYUJs/Y381FNP5ayzzmqTESEEWZa1NZtSSprNZrscaWtqfN4jLkEOnh+03EX/V4C/rq0obYvUSilZvXo1cRxTLpfZs2cPg4ODnH766YRhSLVaRWvNzp076e3tZevWrRx77LEUi0XGxsYYHx+n0WgwNDTEueeey/r163n00UcZGRmhVCpx1llnAZ5EKaU44YQTeOSRR5iamuK2227j+OOPJ45jfu3Xfo1Go0EURSil6O/v9wlos0g4HIZjwT2NB5mOgh6HvOui/svTkeZO2zBjDJVKmYsvvpjTTjuN/v7+tnykJUdYv349cRxj///27iZEsuoM4/j/maoeR6asxmAUPwaVYBYiOEpwIwQ3+dDNmIWiC1EQzEIh7vzY6FJCdCsoCgqJIiRDZhM/AgF3ZnQY1HFQBx3MxMFWXLTTjt1TVW8W91bb9PS93X1rqs6pyvODprtv3er71KmGeu855547GKxO+xheKGhmZjZJedx5bO/18eZbb6wurzQYRFnc9oHiwrJTS6c4f9f5nDmzwu5Op1haKs5ewWCoWM2obqZF3ev+8U5j27VxwVK9tFj980Y55mj7RgyQoNVq0+udKXtug3a7vTokPje3k+XlH5B2sGvXeasX9fX7g/Iiv+IisOK4O1ZPWObm2iwsLDA/P48klpa+p9Pp0CvvQra0tES/P6DTKXr8VlZWGAyCbrfL4uIip0+fptvt0m63WFxcpNVqMxgE8/Pz9Hq91R7a4cnRdttoEra4EvJZmha1QHHTjrrDDZcJG66QUE5Bac+16fX7qyMky8vLq+/rUK9X9OoOT4KG70Gn0/Gdx8zMbGIyKmz/Ufl4ZVESAppdPNa00NnseSkKqKavc5Ss4/q/2Sxv9RJt9Xnq/m7dVIXc3s9R1C0jVqdu3vBwJYz1+w6/ut2uC1szM5uYbMYK6wqW6qJl/e2ORj/e8Jh1j42jKN5stYSmBeooBd84jLpMW5OCerMLusZ1ktNUdr3L64rXzfY1MzNLJaPCduMPzuImDVUfltWr1afoWT0Xa+tW/d2mj4+rZ7Vp7x8070Vu2rM6HFqvUvdacjsxSGGUnnIzM7NJyqKwbbVaXNDpNnhmddE7asGRW8EyrvVvmxYmKXo5Rymimh53XIVtipORpjZ7jetHMba65JmZmdm5lkVhK+1g585dqWOYTcw0FbZQP1Vo/T455jczs/8PWRS2kNcduUbppWs6V3ZcvZEuMsY7naDJc6etR3M7eYf/49P0+szMbHZkU9jmNvRfJcdVEaye35PRuP3MzGxaZLHcl6SvgSXgm9RZtukinHlSpjG3M8OVEfHTc/j3zMzMKmVR2AJIenfa1rt05smZxtzObGZmNlnN12wyMzMzM8uIC1szMzMzmwk5FbbPpQ7QgDNPzjTmdmYzM7MJymaOrZmZmZnZKHLqsTUzMzMzayx5YSvpt5I+lnRM0qOp89SRdFzSB5IOS3q33PYTSW9J+rT8fmHijC9KWpD04ZptlRklPVa2/ceSfpNR5icl/bds68OSbsss8x5J/5J0VNIRSX8ot2fb1jWZs25rMzOzrUo6FUFSC/gE+BVwAjgI3B0RHyULVUPSceAXEfHNmm1/BL6NiKfKwvzCiHgkYcZfAqeAlyPiurqMkq4FXgFuAi4D/gn8PCL6GWR+EjgVEX9at28umS8FLo2IQ5IuAN4DbgfuI9O2rsl8Jxm3tZmZ2Val7rG9CTgWEZ9FxArwKrAvcabt2ge8VP78EkWhkExEvA18u25zVcZ9wKsRsRwRnwPHKN6TiarIXCWXzCcj4lD583fAUeByMm7rmsxVkmc2MzPbjtSF7eXAf9b8foL6D9rUAnhT0nuSHii3XRIRJ6EoHICLk6WrVpUx9/Z/SNL75VSF4ZB+dpklXQXcALzDlLT1uswwJW1tZmZWJ3Vhu9FN6HNepuHmiLgRuBV4sBxCn2Y5t/+zwM+AvcBJ4Olye1aZJXWAvwIPR8Ri3a4bbEuSe4PMU9HWZmZmm0ld2J4A9qz5/Qrgy0RZNhURX5bfF4D9FMOyX5VzF4dzGBfSJaxUlTHb9o+IryKiHxED4Hl+HALPJrOkOYoC8c8R8bdyc9ZtvVHmaWhrMzOzrUhd2B4ErpF0taSdwF3AgcSZNiRpd3nBDZJ2A78GPqTIe2+5273A39MkrFWV8QBwl6TzJF0NXAP8O0G+swyLw9LvKNoaMsksScALwNGIeGbNQ9m2dVXm3NvazMxsq9opDx4RPUkPAW8ALeDFiDiSMlONS4D9RW1AG/hLRLwu6SDwmqT7gS+AOxJmRNIrwC3ARZJOAE8AT7FBxog4Iuk14COgBzyY4or3isy3SNpLMfR9HPh9TpmBm4F7gA8kHS63PU7ebV2V+e7M29rMzGxLfOcxMzMzM5sJqacimJmZmZmdEy5szczMzGwmuLA1MzMzs5ngwtbMzMzMZoILWzMzMzObCS5szczMzGwmuLA1MzMzs5ngwtbMzMzMZsL/ANAVN+D3KHScAAAAAElFTkSuQmCC\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "import json\n",
    "import os\n",
    "import sys\n",
    "import requests\n",
    "import time\n",
    "%matplotlib inline\n",
    "import matplotlib.pyplot as plt\n",
    "from matplotlib.patches import Polygon\n",
    "from PIL import Image\n",
    "from io import BytesIO\n",
    "\n",
    "text_recognition_url = endpoint + \"/vision/v3.0/read/analyze\"\n",
    "\n",
    "# Set image_url to the URL of an image that you want to recognize.\n",
    "image_url = \"https://i03piccdn.sogoucdn.com/f3a008928011811a\"\n",
    "\n",
    "headers = {'Ocp-Apim-Subscription-Key': \"14811b93a7c1482c9ec4d5eabf7241b7\"}\n",
    "data = {'url': image_url}\n",
    "response = requests.post(text_recognition_url, headers=headers, json=data)\n",
    "response.raise_for_status()\n",
    "\n",
    "# Extracting text requires two API calls: One call to submit the\n",
    "# image for processing, the other to retrieve the text found in the image.\n",
    "\n",
    "# Holds the URI used to retrieve the recognized text.\n",
    "operation_url = response.headers[\"Operation-Location\"]\n",
    "\n",
    "# The recognized text isn't immediately available, so poll to wait for completion.\n",
    "analysis = {}\n",
    "poll = True\n",
    "while (poll):\n",
    "    response_final = requests.get(\n",
    "        response.headers[\"Operation-Location\"], headers=headers)\n",
    "    analysis = response_final.json()\n",
    "    \n",
    "    print(json.dumps(analysis, indent=4))\n",
    "\n",
    "    time.sleep(1)\n",
    "    if (\"analyzeResult\" in analysis):\n",
    "        poll = False\n",
    "    if (\"status\" in analysis and analysis['status'] == 'failed'):\n",
    "        poll = False\n",
    "\n",
    "polygons = []\n",
    "if (\"analyzeResult\" in analysis):\n",
    "    # Extract the recognized text, with bounding boxes.\n",
    "    polygons = [(line[\"boundingBox\"], line[\"text\"])\n",
    "                for line in analysis[\"analyzeResult\"][\"readResults\"][0][\"lines\"]]\n",
    "\n",
    "# Display the image and overlay it with the extracted text.\n",
    "image = Image.open(BytesIO(requests.get(image_url).content))\n",
    "ax = plt.imshow(image)\n",
    "for polygon in polygons:\n",
    "    vertices = [(polygon[0][i], polygon[0][i+1])\n",
    "                for i in range(0, len(polygon[0]), 2)]\n",
    "    text = polygon[1]\n",
    "    patch = Polygon(vertices, closed=True, fill=False, linewidth=2, color='y')\n",
    "    ax.axes.add_patch(patch)\n",
    "    plt.text(vertices[0][0], vertices[0][1], text, fontsize=20, va=\"top\")\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": [
    "# 5.提取文本（OCR API）"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 23,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": "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\n",
      "text/plain": [
       "<Figure size 360x360 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    },
    {
     "data": {
      "text/plain": [
       "(0.0, 1.0, 0.0, 1.0)"
      ]
     },
     "execution_count": 23,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": "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\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "import os\n",
    "import sys\n",
    "import requests\n",
    "%matplotlib inline\n",
    "import matplotlib.pyplot as plt\n",
    "from matplotlib.patches import Rectangle\n",
    "from PIL import Image\n",
    "from io import BytesIO\n",
    "\n",
    "ocr_url = endpoint + \"vision/v3.1/ocr\"\n",
    "\n",
    "# Set image_url to the URL of an image that you want to analyze.\n",
    "image_url = \"https://i03piccdn.sogoucdn.com/f3a008928011811a\"\n",
    "\n",
    "headers = {'Ocp-Apim-Subscription-Key': \"14811b93a7c1482c9ec4d5eabf7241b7\"}\n",
    "params = {'language': 'unk', 'detectOrientation': 'true'}\n",
    "data = {'url': image_url}\n",
    "response = requests.post(ocr_url, headers=headers, params=params, json=data)\n",
    "response.raise_for_status()\n",
    "\n",
    "analysis = response.json()\n",
    "\n",
    "# Extract the word bounding boxes and text.\n",
    "line_infos = [region[\"lines\"] for region in analysis[\"regions\"]]\n",
    "word_infos = []\n",
    "for line in line_infos:\n",
    "    for word_metadata in line:\n",
    "        for word_info in word_metadata[\"words\"]:\n",
    "            word_infos.append(word_info)\n",
    "word_infos\n",
    "\n",
    "# Display the image and overlay it with the extracted text.\n",
    "plt.figure(figsize=(5, 5))\n",
    "image = Image.open(BytesIO(requests.get(image_url).content))\n",
    "ax = plt.imshow(image, alpha=0.5)\n",
    "for word in word_infos:\n",
    "    bbox = [int(num) for num in word[\"boundingBox\"].split(\",\")]\n",
    "    text = word[\"text\"]\n",
    "    origin = (bbox[0], bbox[1])\n",
    "    patch = Rectangle(origin, bbox[2], bbox[3],\n",
    "                      fill=False, linewidth=2, color='y')\n",
    "    ax.axes.add_patch(patch)\n",
    "    plt.text(origin[0], origin[1], text, fontsize=20, weight=\"bold\", va=\"top\")\n",
    "plt.show()\n",
    "plt.axis(\"off\")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": []
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": []
  }
 ],
 "metadata": {
  "kernelspec": {
   "display_name": "Python 3",
   "language": "python",
   "name": "python3"
  },
  "language_info": {
   "codemirror_mode": {
    "name": "ipython",
    "version": 3
   },
   "file_extension": ".py",
   "mimetype": "text/x-python",
   "name": "python",
   "nbconvert_exporter": "python",
   "pygments_lexer": "ipython3",
   "version": "3.8.3"
  }
 },
 "nbformat": 4,
 "nbformat_minor": 4
}
